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---
layout: page
title: Publications
description: Publications
sitemap:
priority: 0.7
lastmod: 2018-03-21
changefreq: weekly
---
<linkrel="stylesheet" href="{{ "/assets/css/pub-bib.css" | absolute_url }}" />
<strong>Jump to:</strong>
<ul>
<li><ahref="#journal-publications">Journal publications</a></li>
<li><ahref="#conference-publications">Conference publications</a></li>
<li><ahref="#academic-talks">Academic talks</a></li>
<li><ahref="#industry-talks">Industry and government talks</a></li>
</ul>
<h2style="margin: 2em 0 0 0;" id="journal-publications">Journal publications</h2>
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<!--<h2 style="margin: 2em 0 0 0;">Journal publications</h2>-->
<!--<h2 style="margin: 2em 0 0 0;">Conference publications</h2>-->
<dlclass='thebibliography'><dtclass='thebibliography' id='X0-CovidTraffic2021'>
[1] </dt><ddclass='thebibliography' id='bib-1'>
<p><aid='cite.0@CovidTraffic2021'></a>Y. Hu, W. Barbour, K. Qian, C. Claudel, S. Samaranayake, and D.
Work, “Estimating road traffic impacts of commute mode shifts,” <em><spanclass='cmti-10x-x-109'>Plos
</span><spanclass='cmti-10x-x-109'>One</span></em>, submitted. Preprint: <ahref='https://lab-work.github.io/download/HuCovidTraffic2021.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-HuStreaming2021'>
[2] </dt><ddclass='thebibliography' id='bib-2'>
<p><aid='cite.0@HuStreaming2021'></a>Y. Hu, A. Qu, Y. Wang, and D. Work, “Streaming data preprocessing
via online tensor recovery for large environmental sensor networks,”
<em><spanclass='cmti-10x-x-109'>ACM Transactions on Knowledge Discovery from Data (TKDD)</span></em>,
submitted. Preprint: <ahref='https://lab-work.github.io/download/HuStreaming2021.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-HucaGAE2021'>
[3] </dt><ddclass='thebibliography' id='bib-3'>
<p><aid='cite.0@HucaGAE2021'></a>Y. Hu, A. Qu, and D. Work, “Detecting extreme traffic events via
a context augmented graph autoencoder,” <em><spanclass='cmti-10x-x-109'>Transactions on Intelligent
</span><spanclass='cmti-10x-x-109'>Systems and Technology</span></em>, submitted. Preprint: <ahref='https://lab-work.github.io/download/HucaGAE2021.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-johnson2021machine'>
[4] </dt><ddclass='thebibliography' id='bib-4'>
<p><aid='cite.0@johnson2021machine'></a>P. Johnson, W. Barbour, J. Camp, and H. Baroud, “Using machine
learning to examine freight network spatial vulnerabilities to disasters:
A new take on partial dependency plots,” <em><spanclass='cmti-10x-x-109'>Transportation Research
</span><spanclass='cmti-10x-x-109'>Part E: Logistics and Transportation</span></em>, submitted. Preprint: <ahref='https://lab-work.github.io/download/johnson2021machine.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-CovidTransit'>
[5] </dt><ddclass='thebibliography' id='bib-5'>
<p><aid='cite.0@CovidTransit'></a>Q. Luo, M. Gee, B. Piccoli, D. Work, and S. Samaranayake,
“Managing public transit during a pandemic: The trade-off between
safety and mobility,” <em><spanclass='cmti-10x-x-109'>Transportation Research Part C: Emerging
</span><spanclass='cmti-10x-x-109'>Technologies</span></em>, submitted. Preprint: <ahref='https://lab-work.github.io/download/CovidTransit.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-wang2021gppacc'>
[6] </dt><ddclass='thebibliography' id='bib-6'>
<p><aid='cite.0@wang2021gppacc'></a>Y. Wang, Z. Wang, K. Han, P. Tiwari, and D. Work,
“Gaussian process-based personalized adaptive cruise control,” <em><spanclass='cmti-10x-x-109'>IEEE
</span><spanclass='cmti-10x-x-109'>Transactions on Intelligent Transportation Systems</span></em>, submitted.
Preprint: <ahref='https://lab-work.github.io/download/wang2021gppacc.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-barbour2021optimizationDispatch'>
[7] </dt><ddclass='thebibliography' id='bib-7'>
<p><aid='cite.0@barbour2021optimizationDispatch'></a>W. Barbour and D. B. Work, “Optimization methods for analysis
of empirical rail dispatching relative to train plans,” <em><spanclass='cmti-10x-x-109'>Journal of
</span><spanclass='cmti-10x-x-109'>Rail Transport Planning & Management</span></em>, vol. 19, p. 100 261, 2021.
Manuscript: <ahref='https://www.sciencedirect.com/science/article/pii/S2210970621000275'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/barbour2021optimizationDispatch.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-karve2021seasonal'>
[8] </dt><ddclass='thebibliography' id='bib-8'>
<p><aid='cite.0@karve2021seasonal'></a>V. Karve, D. Yager, M. Abolhelm, D. Work, and R. Sowers, “Seasonal
disorder in urban traffic patterns: A low rank analysis,” <em><spanclass='cmti-10x-x-109'>Journal of
</span><spanclass='cmti-10x-x-109'>Big Data Analytics in Transportation</span></em>, vol. 3, no. 1, pp. 43–60, 2021.
Manuscript: <ahref='https://doi.org/10.1007/s42421-021-00033-4'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/karve2021seasonal.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-sandoval2021enhancedMobilityParking'>
[9] </dt><ddclass='thebibliography' id='bib-9'>
<p><aid='cite.0@sandoval2021enhancedMobilityParking'></a>R. Sandoval, C. Van Geffen, M. Wilbur, B. Hall, A. Dubey,
W. Barbour, and D. Work, “Data driven methods for effective
micromobility parking,” <em><spanclass='cmti-10x-x-109'>Transportation Research Interdisciplinary
</span><spanclass='cmti-10x-x-109'>Perspectives</span></em>, vol. 10, p. 100 368, 2021. Manuscript: <ahref='https://www.sciencedirect.com/science/article/pii/S2590198221000750'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/sandoval2021enhancedMobilityParking.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WangIdentifiability2021'>
[10] </dt><ddclass='thebibliography' id='bib-10'>
<p><aid='cite.0@WangIdentifiability2021'></a>Y. Wang, M. L. Delle Monache, and D. Work, “Identifiability
of car-following dynamics,” <em><spanclass='cmti-10x-x-109'>Physica D: Nonlinear Phenomena</span></em>,
p. 133 090, 2021, <spanclass='sc'><spanclass='cmcsc-10x-x-109'><spanclass='small-caps'>issn</span></span></span>: 0167-2789. Manuscript: <ahref='https://doi.org/10.1016/j.physd.2021.133090'>download</a>. Preprint:
<ahref='https://lab-work.github.io/download/wang2021identifiability.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-wang2021estimation'>
[11] </dt><ddclass='thebibliography' id='bib-11'>
<p><aid='cite.0@wang2021estimation'></a>Y. Wang and D. Work, “Estimation for heterogeneous traffic using
enhanced particle filters,” <em><spanclass='cmti-10x-x-109'>Transportmetrica A: Transport Science</span></em>,
pp. 1–26, 2021. Manuscript: <ahref='https://doi.org/10.1080/23249935.2021.1881186'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/wang2021estimation.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-barbour2020enhancedReconciliation'>
[12] </dt><ddclass='thebibliography' id='bib-12'>
<p><aid='cite.0@barbour2020enhancedReconciliation'></a>W. Barbour, S. Kuppa, and D. Work, “Enhanced data reconciliation
of freight rail dispatch data,” <em><spanclass='cmti-10x-x-109'>Journal of Rail Transport Planning
</span><spanclass='cmti-10x-x-109'>& Management</span></em>, vol. 14, p. 100 193, 2020. Manuscript: <ahref='https://www.sciencedirect.com/science/article/pii/S2210970619301052'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/barbour2020enhancedReconciliation.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-gunter2020commercially'>
[13] </dt><ddclass='thebibliography' id='bib-13'>
<p><aid='cite.0@gunter2020commercially'></a>G. Gunter, D. Gloudemans, R. Stern, S. McQuade, R. Bhadani,
M. Bunting, M. L. Delle Monache, R. Lysecky, B. Seibold, J.
Sprinkle, B. Piccoli, and D. Work, “Are commercially implemented
adaptive cruise control systems string stable?” <em><spanclass='cmti-10x-x-109'>IEEE Transactions
</span><spanclass='cmti-10x-x-109'>on Intelligent Transportation Systems</span></em>, 2020. Manuscript: <ahref='https://doi.org/10.1109/TITS.2020.3000682'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/gunter2020commercially.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-hu2020robust'>
[14] </dt><ddclass='thebibliography' id='bib-14'>
<p><aid='cite.0@hu2020robust'></a>Y. Hu and D. Work, “Robust tensor recovery with fiber outliers
for traffic events,” <em><spanclass='cmti-10x-x-109'>ACM Transactions on Knowledge Discovery from
</span><spanclass='cmti-10x-x-109'>Data (TKDD)</span></em>, vol. 15, no. 1, pp. 1–27, 2020. Manuscript: <ahref='https://doi.org/10.1145/3417337'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/hu2020robust.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-janssen2020scooterPolicy'>
[15] </dt><ddclass='thebibliography' id='bib-15'>
<p><aid='cite.0@janssen2020scooterPolicy'></a>C. Janssen, W. Barbour, E. Hafkenschiel, M. Abkowitz, C. Philip, and
D. Work, “City-to-city and temporal assessment of peer city scooter
policy,” <em><spanclass='cmti-10x-x-109'>Transportation Research Record</span></em>, vol. 2674, no. 7, pp. 219–232,
2020. Manuscript: <ahref='https://journals.sagepub.com/doi/abs/10.1177/0361198120921848'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/janssen2020scooterPolicy.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-wang2020online'>
[16] </dt><ddclass='thebibliography' id='bib-16'>
<p><aid='cite.0@wang2020online'></a>Y. Wang, G. Gunter, M. Nice, M. Delle Monache, and D. Work,
“Online parameter estimation methods for adaptive cruise control
systems,” <em><spanclass='cmti-10x-x-109'>IEEE Transactions on Intelligent Vehicles</span></em>, vol. 6, no. 2,
pp. 288–298, 2020. Manuscript: <ahref='https://doi.org/10.1109/TIV.2020.3023674'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/wang2020online.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-delle2019traffic'>
[17] </dt><ddclass='thebibliography' id='bib-17'>
<p><aid='cite.0@delle2019traffic'></a>M. L. Delle Monache, T. Liard, B. Piccoli, R. Stern, and D. Work,
“Traffic reconstruction using autonomous vehicles,” <em><spanclass='cmti-10x-x-109'>SIAM Journal on
</span><spanclass='cmti-10x-x-109'>Applied Mathematics</span></em>, vol. 79, no. 5, pp. 1748–1767, 2019. Manuscript:
<ahref='https://doi.org/10.1137/18M1217000'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/delle2019traffic.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-gunter2019model'>
[18] </dt><ddclass='thebibliography' id='bib-18'>
<p><aid='cite.0@gunter2019model'></a>G. Gunter, C. Janssen, W. Barbour, R. Stern, and D. Work,
“Model-based string stability of adaptive cruise control systems using
field data,” <em><spanclass='cmti-10x-x-109'>IEEE Transactions on Intelligent Vehicles</span></em>, vol. 5, no. 1,
pp. 90–99, 2019. Manuscript: <ahref='https://doi.org/10.1109/TIV.2019.2955368'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/gunter2019model.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-stern2019quantifying'>
[19] </dt><ddclass='thebibliography' id='bib-19'>
<p><aid='cite.0@stern2019quantifying'></a>R. Stern, Y. Chen, M. Churchill, F. Wu, M. L. Delle Monache, B.
Piccoli, B. Seibold, J. Sprinkle, and D. Work, “Quantifying air quality
benefits resulting from few autonomous vehicles stabilizing traffic,”
<em><spanclass='cmti-10x-x-109'>Transportation Research Part D: Transport and Environment</span></em>, vol. 67,
pp. 351–365, 2019. Manuscript: <ahref='https://doi.org/10.1016/j.trd.2018.12.008'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/stern2019quantifying.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-wutracking2019'>
[20] </dt><ddclass='thebibliography' id='bib-20'>
<p><aid='cite.0@wutracking2019'></a>F. Wu, R. Stern, S. Cui, M. L. Delle Monache, R. Bhadani, M.
Bunting, M. Churchill, N. Hamilton, R. Haulcy, B. Piccoli, B. Seibold,
J. Sprinkle, and D. Work, “Tracking vehicle trajectories and fuel
rates in phantom traffic jams: Methodology and data,” <em><spanclass='cmti-10x-x-109'>Transportation
</span><spanclass='cmti-10x-x-109'>Research Part C: Emerging Technologies</span></em>, vol. 99, pp. 82–109, 2019.
Manuscript: <ahref='https://www.sciencedirect.com/science/article/pii/S0968090X18318345'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/wutracking2019.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-barbour2018prediction'>
[21] </dt><ddclass='thebibliography' id='bib-21'>
<p><aid='cite.0@barbour2018prediction'></a>W. Barbour, J. C. M. Mori, S. Kuppa, and D. B. Work, “Prediction
of arrival times of freight traffic on us railroads using support vector
regression,” <em><spanclass='cmti-10x-x-109'>Transportation Research Part C: Emerging Technologies</span></em>,
vol. 93, pp. 211–227, 2018. Manuscript: <ahref='https://www.sciencedirect.com/science/article/pii/S0968090X18307101'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/barbour2018prediction.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-LiMoriWork2017'>
[22] </dt><ddclass='thebibliography' id='bib-22'>
<p><aid='cite.0@LiMoriWork2017'></a>Y. Li, J. Martinez Mori, and D. Work, “Estimating traffic conditions
from smart work zone systems,” <em><spanclass='cmti-10x-x-109'>Journal of Intelligent Transportation
</span><spanclass='cmti-10x-x-109'>Systems</span></em>, vol. 22, no. 6, pp. 490–502, 2018. Manuscript: <ahref='https://doi.org/10.1080/15472450.2018.1438274'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/LiMoriWork2017.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-stern2018dissipation'>
[23] </dt><ddclass='thebibliography' id='bib-23'>
<p><aid='cite.0@stern2018dissipation'></a>R. E. Stern, S. Cui, M. L. Delle Monache, R. Bhadani, M. Bunting, M.
Churchill, N. Hamilton, H. Pohlmann, F. Wu, B. Piccoli, B. Seibold,
J. Sprinkle, and D. Work, “Dissipation of stop-and-go waves via
control of autonomous vehicles: Field experiments,” <em><spanclass='cmti-10x-x-109'>Transportation
</span><spanclass='cmti-10x-x-109'>Research Part C: Emerging Technologies</span></em>, vol. 89, pp. 205–221, 2018.
Manuscript: <ahref='https://doi.org/10.1016/j.trc.2018.02.005'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/stern2018dissipation.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-SunScaleKF2018'>
[24] </dt><ddclass='thebibliography' id='bib-24'>
<p><aid='cite.0@SunScaleKF2018'></a>Y. Sun and D. Work, “Scaling the Kalman filter for large-scale traffic
estimation,” <em><spanclass='cmti-10x-x-109'>IEEE Transactions on Control of Network Systems</span></em>,
vol. 5, no. 3, pp. 968–980, 2018. Manuscript: <ahref='https://doi.org/10.1109/TCNS.2017.2668898'>download</a>. Preprint:
<ahref='https://lab-work.github.io/download/SunScaleKF2018.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-sun2018error'>
[25] </dt><ddclass='thebibliography' id='bib-25'>
<p><aid='cite.0@sun2018error'></a>Y. Sun and D. Work, “Error bounds for kalman filters on traffic
networks,” <em><spanclass='cmti-10x-x-109'>Networks & Heterogeneous Media</span></em>, vol. 13, no. 2, p. 261,
2018. Manuscript: <ahref='http://dx.doi.org/10.3934/nhm.2018012'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/sun2018error.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-DonovanWork2017'>
[26] </dt><ddclass='thebibliography' id='bib-26'>
<p><aid='cite.0@DonovanWork2017'></a>B. Donovan and D. Work, “Empirically quantifying city-scale
transportation system resilience to extreme events,” <em><spanclass='cmti-10x-x-109'>Transportation
</span><spanclass='cmti-10x-x-109'>Research Part C: Emerging Technologies</span></em>, vol. 79, pp. 333–346, 2017.
Manuscript: <ahref='https://doi.org/10.1016/j.trc.2017.03.002'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/DonovanWork2017.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-LiClaudelPiccoliWork2017'>
[27] </dt><ddclass='thebibliography' id='bib-27'>
<p><aid='cite.0@LiClaudelPiccoliWork2017'></a>Y. Li, C. Claudel, B. Piccoli, and D. Work, “A convex formulation
of traffic dynamics on transportation networks,” <em><spanclass='cmti-10x-x-109'>SIAM journal on
</span><spanclass='cmti-10x-x-109'>Applied Mathematics</span></em>, vol. 77, no. 4, pp. 1493–1515, 2017. Manuscript:
<ahref='https://doi.org/10.1137/16M1074795'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/LiClaudelPiccoliWork2017.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WangLiWorkTRC2017'>
[28] </dt><ddclass='thebibliography' id='bib-28'>
<p><aid='cite.0@WangLiWorkTRC2017'></a>R. Wang, Y. Li, and D. Work, “Comparing traffic state estimators for
mixed human and automated traffic flows,” <em><spanclass='cmti-10x-x-109'>Transportation Research
</span><spanclass='cmti-10x-x-109'>Part C: Emerging Technologies</span></em>, vol. 78, pp. 95–110, 2017. Manuscript:
<ahref='https://doi.org/10.1016/j.trc.2017.02.011'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/WangLiWorkTRC2017.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-GuanChenWork2016'>
[29] </dt><ddclass='thebibliography' id='bib-29'>
<p><aid='cite.0@GuanChenWork2016'></a>X. Guan, C. Chen, and D. Work, “Tracking the evolution of
infrastructure systems and mass responses using publicly available
data,” <em><spanclass='cmti-10x-x-109'>PLOS One</span></em>, vol. 11, no. 12, e0167267, 2016. Manuscript:
<ahref='https://doi.org/10.1371/journal.pone.0167267'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/GuanChenWork2016.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-wang2016multiple'>
[30] </dt><ddclass='thebibliography' id='bib-30'>
<p><aid='cite.0@wang2016multiple'></a>R. Wang, D. Work, and R. Sowers, “Multiple model particle filter
for traffic estimation and incident detection,” <em><spanclass='cmti-10x-x-109'>IEEE Transactions on
</span><spanclass='cmti-10x-x-109'>Intelligent Transportation Systems</span></em>, vol. 17, no. 12, pp. 3461–3470,
2016. Manuscript: <ahref='https://doi.org/10.1109/TITS.2016.2560769'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/wang2016multiple.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-wang2016efficient'>
[31] </dt><ddclass='thebibliography' id='bib-31'>
<p><aid='cite.0@wang2016efficient'></a>R. Wang, S. Fan, and D. Work, “Efficient multiple model particle
filtering for joint traffic state estimation and incident detection,”
<em><spanclass='cmti-10x-x-109'>Transportation Research Part C: Emerging Technologies</span></em>, vol. 71,
pp. 521–537, 2016. Manuscript: <ahref='https://doi.org/10.1016/j.trc.2016.08.003'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/wang2016efficient.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-FanWork2014'>
[32] </dt><ddclass='thebibliography' id='bib-32'>
<p><aid='cite.0@FanWork2014'></a>S. Fan and D. Work, “A heterogeneous multiclass traffic flow
model with creeping,” <em><spanclass='cmti-10x-x-109'>SIAM Journal on Applied Mathematics</span></em>, 2015.
Manuscript: <ahref='https://doi.org/10.1137/140977977'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/FanWork2014.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Liang2015'>
[33] </dt><ddclass='thebibliography' id='bib-33'>
<p><aid='cite.0@Liang2015'></a>L. Heng, D. B. Work, and G. X. Gao, “GPS signal authentication from
cooperative peers,” <em><spanclass='cmti-10x-x-109'>IEEE Transactions on Intelligent Transportation
</span><spanclass='cmti-10x-x-109'>Systems</span></em>, vol. 16, no. 4, pp. 1794–1805, 2015. Manuscript: <ahref='https://doi.org/10.1109/TITS.2014.2372000'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/Liang2015.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Otsuka2015'>
[34] </dt><ddclass='thebibliography' id='bib-34'>
<p><aid='cite.0@Otsuka2015'></a>R. Otsuka, D. Work, and J. Song, “Estimating post-disaster traffic
conditions using real-time data streams,” <em><spanclass='cmti-10x-x-109'>Journal of Structure and
</span><spanclass='cmti-10x-x-109'>Infrastructure Engineering</span></em>, pp. 1–14, 2015. Manuscript: <ahref='https://doi.org/10.1080/15732479.2015.1054293'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/Otsuka2015.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-GahrooeiInferringSignalPhases2015'>
[35] </dt><ddclass='thebibliography' id='bib-35'>
<p><aid='cite.0@GahrooeiInferringSignalPhases2015'></a>M. Reisi Gahrooei and D. Work, “Inferring traffic signal phases
from turning movement counters using hidden Markov models,” <em><spanclass='cmti-10x-x-109'>IEEE
</span><spanclass='cmti-10x-x-109'>Transactions on Intelligent Transportation Systems</span></em>, vol. 16, no. 1,
pp. 91–101, 2015. Manuscript: <ahref='https://doi.org/10.1109/TITS.2014.2327225'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/GahrooeiInferringSignalPhases2015.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-RiveraMinskerWorkRoth'>
[36] </dt><ddclass='thebibliography' id='bib-36'>
<p><aid='cite.0@RiveraMinskerWorkRoth'></a>S. Rivera, B. Minsker, D. Work, and D. Roth, “A text mining
framework for advancing sustainability indicators,” <em><spanclass='cmti-10x-x-109'>Environmental
</span><spanclass='cmti-10x-x-109'>Modeling and Software</span></em>, vol. 62, pp. 128–138, 2014. Manuscript:
<ahref='https://doi.org/10.1016/j.envsoft.2014.08.016'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/RiveraMinskerWorkRoth.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WangWork2013'>
[37] </dt><ddclass='thebibliography' id='bib-37'>
<p><aid='cite.0@WangWork2013'></a>R. Wang and D. Work, “Application of robust optimization
in matrix-based LCI for decision making under uncertainty,”
<em><spanclass='cmti-10x-x-109'>International Journal of Life Cycle Assessment</span></em>, vol. 19, no. 5,
pp. 1110–1118, 2014. Manuscript: <ahref='https://doi.org/10.1007/s11367-013-0685-y'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/WangWork2013.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Blandin2012PTM'>
[38] </dt><ddclass='thebibliography' id='bib-38'>
<p><aid='cite.0@Blandin2012PTM'></a>S. Blandin, J. Argote, A. Bayen, and D. Work, “Phase transition
model of non-stationary traffic flow: Definition, properties and
solution methods,” <em><spanclass='cmti-10x-x-109'>Transportation Research Part B</span></em>, vol. 52, no. 2013,
pp. 31–55, 2013. Manuscript: <ahref='https://doi.org/10.1016/j.trb.2013.02.005'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Blandin2012PTM.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Mazare2013'>
[39] </dt><ddclass='thebibliography' id='bib-39'>
<p><aid='cite.0@Mazare2013'></a>P.-E. Mazaré, O.-P. Tossavainen, and D. Work, “Computing travel
times from filtered traffic states,” <em><spanclass='cmti-10x-x-109'>Discrete and Continuous Dynamical
</span><spanclass='cmti-10x-x-109'>Systems - Series S</span></em>, vol. 7, no. 3, pp. 557–578, 2013. Manuscript:
<ahref='http://dx.doi.org/10.3934/dcdss.2014.7.557'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Mazare2013.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-TossavainenWork2013'>
[40] </dt><ddclass='thebibliography' id='bib-40'>
<p><aid='cite.0@TossavainenWork2013'></a>O.-P. Tossavainen and D. Work, “Markov Chain Monte Carlo based
inverse modeling of traffic flows using GPS data,” <em><spanclass='cmti-10x-x-109'>Networks and
</span><spanclass='cmti-10x-x-109'>Heterogeneous Media</span></em>, vol. 8, no. 3, pp. 803–824, 2013. Manuscript:
<ahref='http://dx.doi.org/10.3934/nhm.2013.8.803'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/TossavainenWork2013.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Blandin2012OnSequential'>
[41] </dt><ddclass='thebibliography' id='bib-41'>
<p><aid='cite.0@Blandin2012OnSequential'></a>S. Blandin, A. Couque, A. Bayen, and D. Work, “On sequential data
assimilation for scalar macroscopic traffic flow models,” <em><spanclass='cmti-10x-x-109'>Physica D:
</span><spanclass='cmti-10x-x-109'>Nonlinear Phenomena</span></em>, vol. 241, pp. 1421–1440, 2012. Manuscript:
<ahref='https://doi.org/10.1016/j.physd.2012.05.005'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Blandin2012OnSequential.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-hoh2011enhancing'>
[42] </dt><ddclass='thebibliography' id='bib-42'>
<p><aid='cite.0@hoh2011enhancing'></a>B. Hoh, T. Iwuchukwu, Q. Jacobson, D. Work, A. Bayen, R. Herring,
J. Herrera, M. Gruteser, M. Annavaram, and J. Ban, “Enhancing
privacy and accuracy in probe vehicle based traffic monitoring via
virtual trip lines,” <em><spanclass='cmti-10x-x-109'>IEEE Transactions on Mobile Computing</span></em>, vol. 11,
no. 5, pp. 949–864, May 2011. Manuscript: <ahref='https://doi.org/10.1109/TMC.2011.116'>download</a>. Preprint:
<ahref='https://lab-work.github.io/download/hoh2011enhancing.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Blandin09SIAM'>
[43] </dt><ddclass='thebibliography' id='bib-43'>
<p><aid='cite.0@Blandin09SIAM'></a>S. Blandin, D. Work, P. Goatin, B. Piccoli, and A. Bayen, “A general
phase transition model for vehicular traffic,” <em><spanclass='cmti-10x-x-109'>SIAM Journal on Applied
</span><spanclass='cmti-10x-x-109'>Mathematics</span></em>, vol. 71, no. 1, pp. 107–127, 2010. Manuscript: <ahref='https://doi.org/10.1137/090754467'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/Blandin09SIAM.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Herrera2010'>
[44] </dt><ddclass='thebibliography' id='bib-44'>
<p><aid='cite.0@Herrera2010'></a>J.-C. Herrera, D. Work, R. Herring, J. Ban, Q. Jacobson, and A.
Bayen, “Evaluation of traffic data obtained via GPS-enabled mobile
phones: The Mobile Century experiment,” <em><spanclass='cmti-10x-x-109'>Transportation Research
</span><spanclass='cmti-10x-x-109'>Part C: Emerging Technologies</span></em>, vol. 18, no. 4, pp. 568–583, 2010.
Manuscript: <ahref='http://dx.doi.org/10.1016/j.trc.2009.10.006'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Herrera2010.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Work2010'>
[45] </dt><ddclass='thebibliography' id='bib-45'>
<p><aid='cite.0@Work2010'></a>D. Work, S. Blandin, O.-P. Tossavainen, B. Piccoli, and A. Bayen,
“A traffic model for velocity data assimilation,” <em><spanclass='cmti-10x-x-109'>Applied Mathematics
</span><spanclass='cmti-10x-x-109'>Research Express</span></em>, vol. 2010, no. 1, pp. 1–35, 2010. Manuscript:
<ahref='http://dx.doi.org/10.1093/amrx/abq002'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Work2010.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Work2008IEEE'>
[46] </dt><ddclass='thebibliography' id='bib-46'>
<p><aid='cite.0@Work2008IEEE'></a>D. Work and A. Bayen, “Convex formulations of air traffic flow
optimization problems,” <em><spanclass='cmti-10x-x-109'>Proceedings of the IEEE</span></em>, vol. 96, no. 12,
pp. 2096–2112, 2008. Preprint: <ahref='https://lab-work.github.io/download/Work2008IEEE.pdf'>download</a>. </p>
</dd></dl>
<h2style="margin: 2em 0 0 0;" id="conference-publications">Conference Publications</h2>
<dlclass='thebibliography'><dtclass='thebibliography' id='X0-GuntersafeACC2022'>
[1] </dt><ddclass='thebibliography' id='bib-47'>
<p><aid='cite.0@GuntersafeACC2022'></a>G. Gunter and D. Work, “Safe driving with control barrier functions
in mixed autonomy traffic when cut-ins occur,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the
</span><spanclass='cmti-10x-x-109'>European Control Conference</span></em>, London, UK, Jul. submitted.
</p>
</dd><dtclass='thebibliography' id='X0-Lichtle2021'>
[2] </dt><ddclass='thebibliography' id='bib-48'>
<p><aid='cite.0@Lichtle2021'></a>N. Lichtlé, E. Vinitsky, M. Nice, B. Seibold, D. Work, and A.
Bayen, “Deploying traffic smoothing cruise controllers learned from
trajectory data,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the IEEE Conference on Robotics
</span><spanclass='cmti-10x-x-109'>and Automation</span></em>, Philidelphia, PA, May submitted.
</p>
</dd><dtclass='thebibliography' id='X0-McQuade2021'>
[3] </dt><ddclass='thebibliography' id='bib-49'>
<p><aid='cite.0@McQuade2021'></a>S. McQuade, J. Lee, A. AlAnqary, F. Alaskar, S. Albeaik, S.
Almatrudi, M. A. Qurishee, W. Barbour, R. Bhadani, M. Bunting,
J. Carpio, M. T. Chiri, F.-C. Chou, R. D. Lorenzo, C. Denaro, S.
Elmadani, S. ElSaid, P. Freeze, Z. Fu, R. D. Fuentes, D. Gloudemans,
M. Gibson, X. Gong, G. Gumm, G. Gunter, A. Hayat, K. Jang, C.
Janssen, N. Kardous, A. Keimer, N. Khoudari, M. K. A. R. Kreidieh,
M. N. Nathan Lichtlé P. Ngo, C. Philip, R. Ramadan, L. Smith, J.
Sung, M. Tran, E. Vinitsky, R. Wagner, Y. Wang, F. Wu, Y. You,
Y. Zhao, B. Seibold, B. Piccoli, A. Bayen, J. Sprinkle, and D. Work,
“Preliminary traffic smoothing on a public highway in actual traffic,”
in <em><spanclass='cmti-10x-x-109'>IEEE Intelligent Transportation Systems Magazine</span></em>, submitted.
</p>
</dd><dtclass='thebibliography' id='X0-barbour2021interstate'>
[4] </dt><ddclass='thebibliography' id='bib-50'>
<p><aid='cite.0@barbour2021interstate'></a>W. Barbour, D. Gloudemans, M. Cebelak, P. Freeze, and D. Work,
“Interstate 24 motion open road testbed,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the ITS
</span><spanclass='cmti-10x-x-109'>America Annual Meeting, to appear</span></em>, location, Dec. 2021. Preprint:
<ahref='https://lab-work.github.io/download/barbour2021interstate.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-gloudemans2021quantifying'>
[5] </dt><ddclass='thebibliography' id='bib-51'>
<p><aid='cite.0@gloudemans2021quantifying'></a>D. Gloudemans, N. Gloudemans, M. Abkowitz, W. Barbour, and
D. Work, “Quantifying social distancing compliance and the effects
of behavioral interventions using computer vision,” in <em><spanclass='cmti-10x-x-109'>Proceedings of
</span><spanclass='cmti-10x-x-109'>the Workshop on Data-Driven and Intelligent Cyber-Physical Systems</span></em>,
Nashville: ACM, May 2021, pp. 1–5. Manuscript: <ahref='https://doi.org/10.1145/3459609.3460523'>download</a>. Preprint:
<ahref='https://lab-work.github.io/download/gloudemans2021quantifying.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-gloudemans2021fast'>
[6] </dt><ddclass='thebibliography' id='bib-52'>
<p><aid='cite.0@gloudemans2021fast'></a>D. Gloudemans and D. Work, “Fast vehicle turning-movement
counting using localization-based tracking,” in <em><spanclass='cmti-10x-x-109'>IEEE/CVF Conference
</span><spanclass='cmti-10x-x-109'>on Computer Vision and Pattern Recognition Workshops</span></em>, Nashville,
TN, Jun. 2021, pp. 4155–4164. Manuscript: <ahref='https://doi.org/10.1109/CVPRW53098.2021.00469'>download</a>. Preprint:
<ahref='https://lab-work.github.io/download/gloudemans2021fast.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-gloudemans2021crop'>
[7] </dt><ddclass='thebibliography' id='bib-53'>
<p><aid='cite.0@gloudemans2021crop'></a>D. Gloudemans and D. Work, “Vehicle tracking with crop-based
detection,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the International Conference on Machine
</span><spanclass='cmti-10x-x-109'>Learning Applications, to appear</span></em>, vol. 20, Pasadena, CA, Dec. 2021.
Preprint: <ahref='https://lab-work.github.io/download/gloudemans2021crop.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-lee2021integrated'>
[8] </dt><ddclass='thebibliography' id='bib-54'>
<p><aid='cite.0@lee2021integrated'></a>J. Lee, G. Gunter, R. Ramadan, S. Almatrudi, P. Arnold, J. Aquino,
W. Barbour, R. Bhadani, J. Carpio, F.-C. Chou, M. Gibson, X.
Gong, A. Hayat, N. Khoudari, A. Kreidieh, M. Kumar, N. Lichtlé, S.
McQuade, B. Nguyen, M. Ross, S. Truong, E. Vinitsky, J. S. Y. Zhao,
B. Piccoli, D. W. A. Bayen, and B. Seibold, “Integrated framework
of vehicle dynamics, instabilities, energy models, and sparse flow
smoothing controllers,” in <em><spanclass='cmti-10x-x-109'>DI-CPS’21: Proceedings of the Workshop
</span><spanclass='cmti-10x-x-109'>on Data-Driven and Intelligent Cyber-Physical Systems at CPS-IOT
</span><spanclass='cmti-10x-x-109'>Week</span></em>, Nashville, TN, May 2021, pp. 41–47. Manuscript: <ahref='https://arxiv.org/abs/2104.11267'>download</a>.
Preprint: <ahref='https://lab-work.github.io/download/lee2021integrated.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Samaranayke2021'>
[9] </dt><ddclass='thebibliography' id='bib-55'>
<p><aid='cite.0@Samaranayke2021'></a>Q. Luo, M. Gee, D. Work, B. Piccoli, and S. Samaranayake,
“Managing public transit in the prevalence of pandemic and reopening
the economy,” in <em><spanclass='cmti-10x-x-109'>2021 Transportation Research Board Annual
</span><spanclass='cmti-10x-x-109'>Meeting</span></em>, Washington, D.C., Jan. 2021. Preprint: <ahref='https://lab-work.github.io/download/Samaranayke2021.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-nice2021can'>
[10] </dt><ddclass='thebibliography' id='bib-56'>
<p><aid='cite.0@nice2021can'></a>M. Nice, S. Elmadani, R. Bhadani, M. Bunting, J. Sprinkle, and D.
Work, “CAN coach: Vehicular control through human cyber-physical
systems,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the ACM/IEEE 12th International
</span><spanclass='cmti-10x-x-109'>Conference on Cyber-Physical Systems</span></em>, 2021, pp. 132–142. Preprint:
<ahref='https://arxiv.org/pdf/2104.06264.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-NiceTRBCanCoach'>
[11] </dt><ddclass='thebibliography' id='bib-57'>
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flow via a single autonomous vehicle: Possibilities and limitations,”
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urban traffic networks using signal timing and stop line detector data,”
in <em><spanclass='cmti-10x-x-109'>2017 Transportation Research Board Annual Meeting</span></em>, Jan. 2017.
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in dense traffic through autonomous vehicles,” in <em><spanclass='cmti-10x-x-109'>Proceedings of
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of urban congestion using persistent homology,” in <em><spanclass='cmti-10x-x-109'>2017 IEEE
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Work, “Vehicle detection and speed estimation with PIR sensors,”
in <em><spanclass='cmti-10x-x-109'>Proceedings of the 14th International Conference on Information
</span><spanclass='cmti-10x-x-109'>Processing in Sensor Networks</span></em>, ser. IPSN ’15, Seattle, Washington:
Association for Computing Machinery, 2015, pp. 370–371, <spanclass='sc'><spanclass='cmcsc-10x-x-109'><spanclass='small-caps'>isbn</span></span></span>:
9781450334754. Manuscript: <ahref='https://doi.org/10.1145/2737095.2742918'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Donovan2015.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-FanWorkTRB2015'>
[48] </dt><ddclass='thebibliography' id='bib-94'>
<p><aid='cite.0@FanWorkTRB2015'></a>S. Fan and D. Work, “A cell transmission model for heterogeneous
multiclass traffic flow with creeping,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the
</span><spanclass='cmti-10x-x-109'>Transportation Research Board 94th Annual Meeting</span></em>, 2015. Preprint:
<ahref='https://lab-work.github.io/download/FanWorkTRB2015.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-ReisiGahrooei2013'>
[49] </dt><ddclass='thebibliography' id='bib-95'>
<p><aid='cite.0@ReisiGahrooei2013'></a>M. R. Gahrooei and D. Work, “Estimating traffic signal phases from
turning movement counters,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the IEEE Conference
</span><spanclass='cmti-10x-x-109'>on Intelligent Transportation Systems</span></em>, vol. 16, 2015, pp. 91–101.
Manuscript: <ahref='https://doi.org/10.1109/ITSC.2013.6728381'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/ReisiGahrooei2013.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WangWork2016'>
[50] </dt><ddclass='thebibliography' id='bib-96'>
<p><aid='cite.0@WangWork2016'></a>R. Wang and D. Work, “Data driven approaches for passenger
train delay estimation,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the IEEE Conference on
</span><spanclass='cmti-10x-x-109'>Intelligent Transportation Systems</span></em>, 2015, pp. 535–540. Manuscript:
<ahref='https://doi.org/10.1109/ITSC.2015.94'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/WangWork2016.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-GowrishankarSternWork'>
[51] </dt><ddclass='thebibliography' id='bib-97'>
<p><aid='cite.0@GowrishankarSternWork'></a>S. Gowrishankar, R. Stern, and D. Work, “Including the social
component in smart transportation systems,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the
</span><spanclass='cmti-10x-x-109'>NSF National Workshop on Transportation Cyber-Physical Systems</span></em>,
2014. Preprint: <ahref='https://lab-work.github.io/download/GowrishankarSternWork.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-SternSong2013'>
[52] </dt><ddclass='thebibliography' id='bib-98'>
<p><aid='cite.0@SternSong2013'></a>R. Stern, J. Song, and D. Work, “Machine-learning-based surrogate
models for network reliability analysis,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the IFIP
</span><spanclass='cmti-10x-x-109'>WG7.5 Working Conference</span></em>, 2014. Preprint: <ahref='https://lab-work.github.io/download/SternSong2013.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-SternSong2014'>
[53] </dt><ddclass='thebibliography' id='bib-99'>
<p><aid='cite.0@SternSong2014'></a>R. Stern, J. Song, and D. Work, “Network reliability analysis using
machine-learning-based surrogate models,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the 12th
</span><spanclass='cmti-10x-x-109'>International Conference on Applications of Statistics and Probability
</span><spanclass='cmti-10x-x-109'>in Civil Engineering</span></em>, 2014. Preprint: <ahref='https://lab-work.github.io/download/SternSong2014.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-SunWork2014conf'>
[54] </dt><ddclass='thebibliography' id='bib-100'>
<p><aid='cite.0@SunWork2014conf'></a>Y. Sun and D. Work, “A distributed local Kalman consensus filter for
traffic estimation,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the IEEE Conference on Decision
</span><spanclass='cmti-10x-x-109'>and Control</span></em>, 2014. Manuscript: <ahref='https://doi.org/10.1109/CDC.2014.7040406'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/SunWork2014conf.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WangWork2014'>
[55] </dt><ddclass='thebibliography' id='bib-101'>
<p><aid='cite.0@WangWork2014'></a>R. Wang and D. Work, “Interactive multiple model ensemble Kalman
filter for traffic estimation and incident detection,” in <em><spanclass='cmti-10x-x-109'>Proceedings of
</span><spanclass='cmti-10x-x-109'>the IEEE Conference on Intelligent Transportation Systems</span></em>, 2014,
pp. 804–809. Manuscript: <ahref='https://doi.org/10.1109/ITSC.2014.6957788'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/WangWork2014.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Gowrishankar2013'>
[56] </dt><ddclass='thebibliography' id='bib-102'>
<p><aid='cite.0@Gowrishankar2013'></a>S. Gowrishankar and D. Work, “Estimating traffic control strategies
with inverse optimal control,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the IEEE International
</span><spanclass='cmti-10x-x-109'>Conference on Intelligent Transportation Systems</span></em>, 2013. Manuscript:
<ahref='https://doi.org/10.1109/ITSC.2013.6728571'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Gowrishankar2013.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Guers2013a'>
[57] </dt><ddclass='thebibliography' id='bib-103'>
<p><aid='cite.0@Guers2013a'></a>R. Guers, C. Langbort, and D. Work, “On modifying decision-maker
perception in a payoff learning game with fixed rewards,” in
<em><spanclass='cmti-10x-x-109'>Proceedings of the 4th IFAC Workshop on Distributed Estimation and
</span><spanclass='cmti-10x-x-109'>Control in Networked Systems</span></em>, 2013. Manuscript: <ahref='https://doi.org/10.3182/20130925-2-DE-4044.00037'>download</a>. Preprint:
<ahref='https://lab-work.github.io/download/Guers2013a.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-MCCaseStudyTRB12'>
[58] </dt><ddclass='thebibliography' id='bib-104'>
<p><aid='cite.0@MCCaseStudyTRB12'></a>P.-E. Mazaré, O.-P. Tossavainen, A. Bayen, and D. Work,
“Trade–offs between inductive loops and GPS probe vehicles for
travel time estimation: A Mobile Century case study,” in <em><spanclass='cmti-10x-x-109'>Proc.
</span><spanclass='cmti-10x-x-109'>of the Transportation Research Board 91st Annual Meeting</span></em>, 2012.
Manuscript: <ahref='https://trid.trb.org/view/1129929'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/MCCaseStudyTRB12.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-TRB09CTM'>
[59] </dt><ddclass='thebibliography' id='bib-105'>
<p><aid='cite.0@TRB09CTM'></a>S. Blandin, D. Work, P. Goatin, B. Piccoli, and A. Bayen., “A class of
perturbed cell-transmission models to account for traffic variability,”
in <em><spanclass='cmti-10x-x-109'>Transportation Research Board 89th Annual Meeting</span></em>, Washington,
D.C, Jan. 2010. Manuscript: <ahref='https://trid.trb.org/view/911186'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/TRB09CTM.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Jariyasunant2010'>
[60] </dt><ddclass='thebibliography' id='bib-106'>
<p><aid='cite.0@Jariyasunant2010'></a>J. Jariyasunant, D. Work, B. Kerkez, R. Sengupta, S. Glaser, and
A. Bayen, “Mobile transit trip planning with real time data,” in
<em><spanclass='cmti-10x-x-109'>Transportation Research Board 89th Annual Meeting</span></em>, Washington,
D.C., Jan. 2010. Manuscript: <ahref='https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.367.3485&rep=rep1&type=pdf'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Jariyasunant2010.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WorkACC2009LagsensPart2'>
[61] </dt><ddclass='thebibliography' id='bib-107'>
<p><aid='cite.0@WorkACC2009LagsensPart2'></a>D. Work, O.-P. Tossavainen, Q. Jacobson, and A. Bayen,
“Lagrangian sensing: Distributed traffic estimation with mobile
devices,” in <em><spanclass='cmti-10x-x-109'>Proceedings of the American Control Conference</span></em>, 2009.
Manuscript: <ahref='https://doi.org/10.1109/ACC.2009.5160332'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/WorkACC2009LagsensPart2.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Aminetal2008'>
[62] </dt><ddclass='thebibliography' id='bib-108'>
<p><aid='cite.0@Aminetal2008'></a>S. A. et al., “Mobile century-using GPS mobile phones as traffic
sensors: A field experiment,” in <em>15<spanclass='cmmi-8'>th </span><spanclass='cmti-10x-x-109'>World congress on ITS</span></em>,
Intelligent Transport Systems, New York, N.Y., Nov. 2008. Preprint:
<ahref='https://lab-work.github.io/download/Aminetal2008.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Work2008c'>
[63] </dt><ddclass='thebibliography' id='bib-109'>
<p><aid='cite.0@Work2008c'></a>D. Work and A. Bayen, “Convex formulations of aggregate
network air traffic flow optimization problems,” in <em><spanclass='cmti-10x-x-109'>Proceedings of
</span><spanclass='cmti-10x-x-109'>the IEEE Conference on Decision and Control</span></em>, 2008, pp. 2141–2147.
Manuscript: <ahref='https://doi.org/10.1109/CDC.2008.4739033'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Work2008c.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WorkAARCPS2008'>
[64] </dt><ddclass='thebibliography' id='bib-110'>
<p><aid='cite.0@WorkAARCPS2008'></a>D. Work and A. Bayen, “Impacts of the mobile internet on
transportation cyber-physical systems: Traffic monitoring using
smartphones,” in <em><spanclass='cmti-10x-x-109'>National Workshop for Research on High-Confidence
</span><spanclass='cmti-10x-x-109'>Transportation Cyber-Physical Systems: Automotive, Aviation, &
</span><spanclass='cmti-10x-x-109'>Rail</span></em>, 2008. Preprint: <ahref='https://lab-work.github.io/download/WorkAARCPS2008.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-WorkAutoCPS2008'>
[65] </dt><ddclass='thebibliography' id='bib-111'>
<p><aid='cite.0@WorkAutoCPS2008'></a>D. Work, A. Bayen, and Q. Jacobson, “Automotive cyber-physical
systems in the context of human mobility,” in <em><spanclass='cmti-10x-x-109'>National Workshop on
</span><spanclass='cmti-10x-x-109'>High-Confidence Automotive Cyber-Physical Systems</span></em>, 2008. Preprint:
<ahref='https://lab-work.github.io/download/WorkAutoCPS2008.pdf'>download</a>.
</p>
</dd><dtclass='thebibliography' id='X0-Work2008b'>
[66] </dt><ddclass='thebibliography' id='bib-112'>
<p><aid='cite.0@Work2008b'></a>D. Work, O.-P. Tossavainen, S. Blandin, A. Bayen, T. Iwuchukwu,
and K. Tracton, “An ensemble Kalman filtering approach to highway
traffic estimation using GPS enabled mobile devices,” in <em><spanclass='cmti-10x-x-109'>Proceedings of
</span><spanclass='cmti-10x-x-109'>the IEEE Conference on Decision and Control</span></em>, 2008, pp. 2141–2147.
Manuscript: <ahref='https://doi.org/10.1109/CDC.2008.4739016'>download</a>. Preprint: <ahref='https://lab-work.github.io/download/Work2008b.pdf'>download</a>. </p>
</dd></dl>
<!--BE CAREFUL -- THIS SECTION IS NOT YET AUTO-GENERATED WITH BIBLIOGRAPHY!-->
<h2style="margin: 2em 0 0 0;">Magazine articles, position articles, and technical reports</h2>
<dl>
<dtclass='thebibliography'>
[1] </dt><ddclass='thebibliography'>
<p>Y. Li, J. C. Martinez Mori, and D. Work, “Improving the effectiveness of smart work zone technologies,” <em>Illinois Department of Transportation Technical Report</em>, July 2016.</p>
</dd>
<dtclass='thebibliography'>
[2] </dt><ddclass='thebibliography'>
<p>A. Aussieker et al., “Final Report: NSF Workshop on Smart Cities,” NSF White Paper, C. G. Cassandras, A. Malikopoulos, I. Paschalidis, D. Work eds., July 2016. <strong>Download:</strong><ahref="https://www.dropbox.com/s/3hnk5g7q7zhtwik/NSFWorkshopReport_SmartCities_2015.pdf?dl=0">manuscript.</a></p>
</dd>
<dtclass='thebibliography'>
[3] </dt><ddclass='thebibliography'>
<p>M. Abbas et al. “New directions in mathematical approaches for traffic flow management.” <em>Institute for Pure and Applied Mathematics White Paper</em>, B. Seibold and D. Work eds., 2016. <strong>Download: </strong><ahref="https://www.dropbox.com/s/ltodi0d9qw3t5zd/White_Paper_Traffic_Flow_Management_Dec_2015.pdf?dl=0">manuscript.</a></p>
</dd>
<dtclass='thebibliography'>
[4] </dt><ddclass='thebibliography'>
<p>B. Donovan Y. Li, R. Stern J. Jiang C. Claudel, and D. Work. “Vehicle detection and speed estimation with PIR sensors.” <em>International Conference on Information Processing in Sensor Networks, peer reviewed poster session,</em> April 2015. <strong>Download:</strong><ahref="https://www.dropbox.com/s/i8dhtzy3iiessm4/IPSN2015.pdf?dl=0">preprint</a></p>
</dd>
<dtclass='thebibliography'>
[5] </dt><ddclass='thebibliography'>
<p>S. Gowrishankar, R. Stern, and D. Work. “Including the social component in smart transportation systems.” <em>2014 National Workshop on Transportation Cyber-Physical Systems, Arlington, VA, January 23-24, 2014. </em><strong>Download: </strong><ahref="https://www.dropbox.com/s/mwqx40e93vsln7n/GSW%5Bfinal%5D.pdf">manuscript</a></p>
</dd>
<dtclass='thebibliography'>
[6] </dt><ddclass='thebibliography'>
<p>L. Heng, D. Work, and G. Gao. “Cooperative GNSS Authentication: Reliability from Unreliable Peers,” <em> Inside GNSS Magazine</em>, pp 70-75, Sept. 2013. <strong>Download:</strong><ahref="https://www.dropbox.com/s/1ap1labs9p3srv7/SEPOCT13-HENG.pdf">preprint</a>, <ahref="www.insidegnss.com/auto/SEPOCT13-HENG.pdf">manuscript</a>.</p>
</dd>
<dtclass='thebibliography'>
[7] </dt><ddclass='thebibliography'>
<p>A. D. Patire, A. M. Bayen, D. B. Work, J. C. Herrera, R. Herring, X. Ban, Q. Jacobson, O.-P. Tossavainen, S. Blandin, C. Claudel, A. Mortazavi, S. Andrews, B. Hoh, M. Gruteser, M. Annavaram, T. Iwuchukwu and K. Tracton. “Mobile Century Final Report for TO 1021 and TO 1029: A traffic sensing field experiment using GPS mobile phones.” CCIT Research Report, UC Berkeley, Institute of Transportation Studies (ITS), UCB-ITS-CWP-2010-4, ISSN 1557-2269, 2010. <strong>Download:</strong><ahref="https://www.dropbox.com/s/xlrxmaqj324kb6s/p302_final_report.pdf">manuscript</a>.</p>
</dd>
<dtclass='thebibliography'>
[8] </dt><ddclass='thebibliography'>
<p>R. Herring, A. Hofleitner, D. Work, O.-P. Tossavainen, and A. Bayen. “Mobile Millennium – Participatory Traffic Estimation Using Mobile Phones.” <em>4th International Conference on Future Urban Transport</em>, Gothenburg, Sweden, April 19–21, 2009. <strong>Download: </strong><ahref="https://www.dropbox.com/s/bi1qd7ffx0bodqe/VREF.pdf">manuscript</a>.</p>
</dd>
<dtclass='thebibliography'>
[9] </dt><ddclass='thebibliography'>
<p>D. Work and A. Bayen.“Impacts of the Mobile Internet on Transportation Cyber-Physical Systems: Traffic Monitoring using Smartphones.” <em>National Workshop for Research on High-Confidence Transportation Cyber-Physical Systems: Automotive,</em> Aviation, & Rail, Washington, DC, Nov. 18–20, 2008. Reprinted in “Project Millennium” Information Quarterly, Vol. 8, num. 2, pp 8–21, Aug. 2009. <strong>Download: </strong><ahref="https://www.dropbox.com/s/3xj4kpa1cwtqu4j/cps2.pdf">manuscript</a>.</p>
</dd>
<dtclass='thebibliography'>
[10] </dt><ddclass='thebibliography'>
<p>S. Amin et al. “Mobile Century – Using GPS Mobile Phones as Traffic Sensors: A Field Experiment.” <em>15th World Congress on Intelligent Transportation Systems</em>, New York, NY, Nov. 2008. Reprinted in “Project Millennium” Information Quarterly, Vol. 8, num. 2, pp 8–21, Aug. 2009. <strong>Download: </strong><ahref="https://www.dropbox.com/s/h5it3icu1v7sh9z/ProjectMillennium.pdf">manuscript</a>.</p>
</dd>
<dtclass='thebibliography'>
[11] </dt><ddclass='thebibliography'>
<p>D. Work, A. Bayen, and Q. Jacobson. “Automotive Cyber-Physical Systems in the Context of Human Mobility.” <em>National Workshop on High-Confidence Automotive Cyber-Physical Systems.</em> Troy, MI. April 3–4, 2008. Reprinted in “Project Millennium” Information Quarterly, Vol. 8, num. 2, pp 8–21, Aug. 2009. <strong>Download: </strong><ahref="https://www.dropbox.com/s/dmr3ardjk3z0doq/cps1.pdf">manuscript</a>.</p>
</dd>
</dl>
<!--BE CAREFUL -- SECTION ABOVE IS NOT YET AUTO-GENERATED WITH BIBLIOGRAPHY!-->
<h2id="academic-talks">Academic talks</h2>
<strong>Since joining Vanderbilt in 2018</strong>
<ol>
<li>"From Monitoring to Mitigation in an Autonomous Vehicle Future" <em>13th Annual Conference of the Prognostics and Health Management Society</em>, <em>keynote talk; joint with J. Sprinkle</em>, Nov. 30, 2021.
<li>"Traffic Flow Smoothing at Scale", invited seminar, Civil & Environmental Engineering, MIT, Boston, MA, December 4, 2021
<li>"Traffic Flow Smoothing at Scale", invited talk, Artificial Intelligence Enabled Next Generation Transportation Systems Virtual Event Series, (virtual) November 10, 2021.
<li>"Traffic Flow Smoothing at Scale", invited seminar, UC Davis Institute for Transportation Studies, (virtual), May 7, 2021.
<li>"Keeping Society's Transportation Systems Operational", invited presenter, The Forum: Engineering for Pandemics: Preparedness, Response, and Recovery, National Academy of Engineering Annual Meeting, October 4-5, 2020.
<li>"Tutorial on Transportation Engineering for Connected and Automated Vehicles", invited speaker, Long Program on Autonomous Vehicles, Institute for Pure and Applied Mathematics, Los Angeles, CA, 2020
<li>"Traffic Flow Smoothing at Scale", invited speaker, Long Program on Autonomous Vehicles, Institute for Pure and Applied Mathematics, Los Angeles, CA, 2020
<li>"Traffic Flow Smoothing at Scale", invited speaker, Workshop on Traffic Management for Future Mobility - CAVs in a Mixed Traffic Environment at IEEE Conference on Intelligent Transportation Systems, (Greece/Virtual), 2020
<li>"Traffic Flow Smoothing at Scale", invited speaker, Workshop on Internet of Things in Intelligent Transportation Systems: Opportunities and Challenges, IEEE Conference on Intelligent Vehicles, (Las Vegas/Virtual), 2020
<li>"The All-Embracing Transportation System", invited keynote speaker, Royal Swedish Academy of Engineering Sciences 100th Year Anniversary Conference, Stockholm, Sweden, June 26, 2019.
