All (106)
Podi­um (36)
Poster (24)
Light­ning Talk (24)
Spe­cial Ses­sion (3)
Sun­day, July 14 (3)
Mon­day, July 15 (43)
Tues­day, July 16 (42)
Wednes­day, July 17 (17)
Advanced Traf­fic Con­trol (4)
AI and Machine Learn­ing Inno­va­tions in Traf­fic and Mobil­i­ty Analy­sis (4)
Curb­side Space Man­age­ment (3)
Dynam­ics and Safe­ty Impli­ca­tions in Auto­mat­ed Vehi­cle Sys­tems (3)
Emerg­ing Mobil­i­ty Sys­tems: I (3)
Emerg­ing Mobil­i­ty Sys­tems: II (3)
Inno­va­tions in Tran­sit Design and Opti­miza­tion (3)
Inno­va­tions in Trans­porta­tion Mod­el­ing (4)
Rout­ing and Equi­lib­ri­um in Traf­fic Net­works (4)
Traf­fic Flow The­o­ry (4)

AUTHORS (177)
Ahn, Soy­oung (Sue)
Aka­mat­su, Takashi
Alan­qary, Arwa
Alisoltani, Negin
Alon­so-Mora, Javier
Ameli, Mostafa
Ban, Jeff
Bandiera, Clau­dia
Bat­ley, Richard
Bayen, Alexan­dre M.
Bell, Michael G H
Beo­jone, Caio Vitor
Bhat­tachar­jya, Jyotir­moy­ee
Bliemer, Michiel
Cao, Yumin
Cas­sidy, Michael J.
Cen, Xuekai
Chen, Zhib­in
Chen, Dan­jue
Chen, Kehua
Chen, Xiqun (Michael)
Chen, Xu
Chen, Cyn­thia
Cheng, Xi
Coif­man, Ben­jamin
Cokyasar, Tan­er
Con­nors, Richard D.
Cook, Adi­an
Dagan­zo, Car­los F.
Dantsu­ji, Takao
Di, Xuan
Doig, Jean
Engel­hardt, Roman
Fan, Ximeng
Fan, Yueyue
Feng, Liyang
Feng, Yiheng
Fiel­baum, Andrés
Fu, Zhe
Gayah, Vikash V.
Geers, Glenn
Geroli­m­in­is, Niko­las
Gu, Ziyuan
Had­dad, Jack
Ham­dar, Samer
Haque, Mohaimin­ul
Hazel­ton, Mar­tin
He, Xiaozheng (Sean)
Her­ty, Michael
Hey­deck­er, Ben­jamin
Hong, Yuan
Hu, Simon
Hu, Xinyue
Huang, Hai-Jun
Huang, Shuai
Iaco­mi­ni, Elisa
Iryo, Taka­masa
Jia, Shaocheng
Jiang, Jiwan
Jin, Li
Jin, Wen­long
Ka, Eun­han
Khan, Zaid Saeed
Kobayashi, Shun-ichi
Krei­dieh, Abdul Rahman
Krish­naku­mari, Pan­chamy
Lau­riere, Math­ieu
Laval, Jorge
Le, Dat Tien
Lebacque, Jean-Patrick
Lecler­cq, Ludovic
Lee, Enoch
Lehe, Lewis J.
Li, Zihao
Li, Shen
Li, Jiayang
Li, Manzi
Li, Yifan
Lim, Jisoon
Lin, Jane
Liu, Yuhao
Liu, Jiachao
Liu, Wei
Liu, Hao
Liu, Ronghui
Liu, Yang
Liu, Tian-Liang
Liu, Zhiyuan
Lo, Hong K.
Loder, Allis­ter
Ma, Xiaoyu
Mah­mas­sani, Hani S.
Martínez, Irene
Masoud, Neda
Menén­dez, Móni­ca
Mo, Zhaobin
Mol­nar, Tamas G.
Nakaya­ma, Shoichi­ro
Ng, Max T.M.
Nie, Yu (Mar­co)
Orosz, Gábor
Oso­rio, Jesus
Ouyang, Yan­feng
Ozbay, Kaan
Pandey, Ayush
Pee­ta, Srini­vas
Qian, Sean
Qu, Xu
Ran, Bin
Ren, Kanghui
Rock­afel­larc, R. Tyrrell
Saberi, Meead
Safa­di, Yazan
Sakai, Takara
Sat­sukawa, Koki
Schmöck­er, Jan-Dirk
Segala, Chiara
Shen, Shiyu
Si, Bingfeng
Sir­matelb, Isik Ilber
Song, Jun
Sun, Xiao­tong
Sun, Lijun
Sun, Wen­zhe
Takaya­ma, Yuki
Talebpour, Alireza
Tang, Yu
Tian, Qiong
Uğurel, Ekin
Ukkusuri, Satish V.
van Lint, Hans
Ver­bas, Ömer
Viti, Francesco
Wada, Ken­taro
Wang, Xiaolei
Wang, Xin
Wang, Siy­ing
Wang, Qian­ni
Wang, David Z.W.
Wang, Jingx­ing
Wang, Fei­long
Wang, Qiqing
Wang, Zejiang
Wang, Wen­shuo
Watling, David
Wong, S.C.
Wong, Wai
Xie, Jun
Xu, Zhengt­ian
Xu, Pu
Xue, Jiawei
Yam­aguchi, Hiromichi
Yang, Hai
Yang, Chen
Yang, Shan
Yang, Kai­di
Yao, Rui
Ye, Anke
Yin, Peng­hang
Zang, Zhao­qi
Zhang, Yun­long
Zhang, Xiaon­ing
Zhang, Yu
Zhang, Zhuoye
Zhang, Fang­ni
Zhang, Kenan
Zhang, Chengyuan
Zhao, Chaoyue
Zheng, Yuan
Zheng, Zuduo
Zhou, Yang
Zhou, Yihe
Zhou, Bo
Zhou, Anye
Zhou, Hao
Zhu, Meix­in
Zhu, Peng­bo

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Podium Session 2: Economic Analysis of On-Street Parking with Urban Delivery

Title: Economic Analysis of On-Street Parking with Urban Delivery
Authors: Zhengtian Xu, Xiaotong Sun
Abstract: Problem Definition: The surge in online shopping has dramatically increased the demand for short-term curb access for package pickups and deliveries, leading to heightened competition for limited curb space. This paper addresses the problem of how the unique parking demand of deliverers, particularly their parking duration for delivery attempts lin...
Keywords: Urban logistics; “Final 50 feet” problem; On-street parking; Parking management; Delivery bay

Lightning Talk 1: Transit Fares Integrating Alternative Modes as a Delay Insurance

Title: Transit Fares Integrating Alternative Modes as a Delay Insurance
Authors: Yihe Zhou, Wenzhe Sun, Jan-Dirk Schmöcker
Abstract: Public transport (PT) fare policy remains subject to innovations, not least evident in the Mobility as a Service discussion. Mode integration and related fare strategies can be used to increase the attractiveness of PT by compensating for potential delays. This study proposes “premium fares” as a novel pricing tool that can evaluate and improve the...
Keywords: Travel time reliability; Delay insurance; Premium fare; Integrated multimodal transport; Nonlinear and dynamic programming

Lightning Talk 1: Developing Platooning Systems of Connected and Automated Vehicles with Guaranteed Stability and Robustness against Degradation due to Communication Disruption

Title: Developing Platooning Systems of Connected and Automated Vehicles with Guaranteed Stability and Robustness against Degradation due to Communication Disruption
Authors: Yuan Zheng, Yu Zhang, Xu Qu, Shen Li, Bin Ran
Abstract: Connected and automated vehicle platooning systems like cooperative adaptive cruise control (CACC) have shown great potential on improving traffic performance with a shortened time gap through advanced sensing and Vehicle-to-Vehicle (V2V) communication technologies. However, V2V communication is not always reliable in realistic traffic conditions. ...
Keywords: communication disruption; cooperative adaptive cruise control; adaptive cruise control; stability analysis; delay robustness

Poster Session 1: Transit Fares Integrating Alternative Modes as a Delay Insurance

Title: Transit Fares Integrating Alternative Modes as a Delay Insurance
Authors: Yihe Zhou, Wenzhe Sun, Jan-Dirk Schmöcker
Abstract: Public transport (PT) fare policy remains subject to innovations, not least evident in the Mobility as a Service discussion. Mode integration and related fare strategies can be used to increase the attractiveness of PT by compensating for potential delays. This study proposes “premium fares” as a novel pricing tool that can evaluate and improve the...
Keywords: Travel time reliability; Delay insurance; Premium fare; Integrated multimodal transport; Nonlinear and dynamic programming

Poster Session 1: Developing Platooning Systems of Connected and Automated Vehicles with Guaranteed Stability and Robustness against Degradation due to Communication Disruption

Title: Developing Platooning Systems of Connected and Automated Vehicles with Guaranteed Stability and Robustness against Degradation due to Communication Disruption
Authors: Yuan Zheng, Yu Zhang, Xu Qu, Shen Li, Bin Ran
Abstract: Connected and automated vehicle platooning systems like cooperative adaptive cruise control (CACC) have shown great potential on improving traffic performance with a shortened time gap through advanced sensing and Vehicle-to-Vehicle (V2V) communication technologies. However, V2V communication is not always reliable in realistic traffic conditions. ...
Keywords: communication disruption; cooperative adaptive cruise control; adaptive cruise control; stability analysis; delay robustness

Podium Session 7: A Novel Mobility Consumption Theory for Road User Charging

Title: A Novel Mobility Consumption Theory for Road User Charging
Authors: Michiel C.J. Bliemer, Allister Loder, Zuduo Zheng
Abstract: Building on the analogy between electrical energy and mobility, we propose a novel mobility consumption theory based on the idea of the required reserved space headway of vehicles while driving. In this theory, mobility is “produced” by road infrastructure and is “consumed” by drivers in a similar fashion to power that is produced in power plants a...
Keywords: Road use; Mobility consumption; Road pricing reform; Road user charging

Lightning Talk 2: Providing Real-Time En-Route Suggestions to CAVs for Congestion Mitigation: A Two-Way Deep Reinforcement Learning Approach

Title: Providing Real-Time En-Route Suggestions to CAVs for Congestion Mitigation: A Two-Way Deep Reinforcement Learning Approach
Authors: Xiaoyu Ma, Xiaozheng (Sean) He
Abstract: This research investigates the effectiveness of information provision for congestion reduction in Connected Autonomous Vehicle (CAV) systems. The inherent advantages of CAVs, such as vehicle-to-everything communication, advanced vehicle autonomy, and reduced human involvement, make them conducive to achieving Correlated Equilibrium (CE). Leveraging...
Keywords: Information provision; Correlated Equilibrium; Reinforcement learning; Connected autonomous vehicles; Congestion mitigation

Lightning Talk 2: Kernel-Based Planning and Imitation Learning Control for Flow Smoothing in Mixed Autonomy Traffic

Title: Kernel-Based Planning and Imitation Learning Control for Flow Smoothing in Mixed Autonomy Traffic
Authors: Zhe Fu, Arwa Alanqary, Abdul Rahman Kreidieh, Alexandre M. Bayen
Abstract: This article presents a new architecture for managing heterogeneous fleets aimed at achieving flow harmonization in mixed-autonomy traffic, demonstrating robustness across different sensing paradigms. We develop a kernel-based planning controller capable of providing anticipative coordination over low-bandwidth or high-latency networks. Furthermore...
Keywords: Traffic Flow Harmonization; Mixed Autonomy Traffic; Kernel-based Planning; Parameter Optimization; Imitation Learning

Poster Session 2: Providing Real-Time En-Route Suggestions to CAVs for Congestion Mitigation: A Two-Way Deep Reinforcement Learning Approach

Title: Providing Real-Time En-Route Suggestions to CAVs for Congestion Mitigation: A Two-Way Deep Reinforcement Learning Approach
Authors: Xiaoyu Ma, Xiaozheng (Sean) He
Abstract: This research investigates the effectiveness of information provision for congestion reduction in Connected Autonomous Vehicle (CAV) systems. The inherent advantages of CAVs, such as vehicle-to-everything communication, advanced vehicle autonomy, and reduced human involvement, make them conducive to achieving Correlated Equilibrium (CE). Leveraging...
Keywords: Information provision; Correlated Equilibrium; Reinforcement learning; Connected autonomous vehicles; Congestion mitigation

Poster Session 2: Kernel-Based Planning and Imitation Learning Control for Flow Smoothing in Mixed Autonomy Traffic

Title: Kernel-Based Planning and Imitation Learning Control for Flow Smoothing in Mixed Autonomy Traffic
Authors: Zhe Fu, Arwa Alanqary, Abdul Rahman Kreidieh, Alexandre M. Bayen
Abstract: This article presents a new architecture for managing heterogeneous fleets aimed at achieving flow harmonization in mixed-autonomy traffic, demonstrating robustness across different sensing paradigms. We develop a kernel-based planning controller capable of providing anticipative coordination over low-bandwidth or high-latency networks. Furthermore...
Keywords: Traffic Flow Harmonization; Mixed Autonomy Traffic; Kernel-based Planning; Parameter Optimization; Imitation Learning

Podium Session 8: A Hierarchical Control Framework for Vehicle Repositioning in Ride-Hailing Systems

Title: A Hierarchical Control Framework for Vehicle Repositioning in Ride-Hailing Systems
Authors: Caio Vitor Beojone, Pengbo Zhu, Isik Ilber Sirmatelb, Nikolas Geroliminis
Abstract: This paper introduces a multi-layer control strategy for efficiently repositioning empty ride-hailing vehicles, aiming to bridge the gap between proactive repositioning strategies and micro-management. The proposed framework consists of three layers: an upper-layer employing an aggregated model based on the Macroscopic Fundamental Diagram (MFD) and...
Keywords: Vehicle Repositioning; Hierarchical Control; Model Predictive Control (MPC); Coverage Control; Macroscopic Fundamental Diagram (MFD)

Edited by Guoyang Qin

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