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

Podium Session

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Podium Session 1: Alleviating Bus Bunching via Modular Vehicles

Title: Alleviating Bus Bunching via Modular Vehicles
Authors: Yuhao Liu, Zhibin Chen, Xiaolei Wang
Abstract: The notorious phenomenon of bus bunching prevailing in uncontrolled bus systems produces irregular headways and downgrades the level of service by increasing passengers’ expected waiting time. Modular autonomous vehicles (MAVs), due to their ability to split and merge enroute, have the potential to help both late and early buses recover from schedu...
Keywords: Bus bunching; Modular vehicle; Dynamic system; Deep reinforcement learning

Podium Session 1: A Seamless Bus Network without External Transfers Using Autonomous Modular Vehicles

Title: A Seamless Bus Network without External Transfers Using Autonomous Modular Vehicles
Authors: Zaid Saeed Khan, Mónica Menéndez
Abstract: Recently, autonomous modular vehicles (AMVs) capable of enabling in-motion transfer (IMT), i.e. passengers moving between vehicles while the vehicles are traveling, have been developed. IMT allows new paradigms for public transport operations that can enhance the speed, flexibility, and reliability of the system. We leverage IMT technology to propo...
Keywords: Autonomous modular buses; In-motion transfer; Stop-less bus; Transfer-less bus service; Bus network design

Podium Session 1: An Autonomous Modular Public Transit Service

Title: An Autonomous Modular Public Transit Service
Authors: Xi Cheng, Yu (Marco) Nie, Jane Lin
Abstract: In this work, we present a proof-of-concept investigation of Autonomous Modular Public Transit (AMPT) at a network scale and compare it with the traditional fixed-route, fixed-vehicle size transit service in terms of total cost, which consists of both agency’s capital and operational cost (including energy cost) and passenger time cost. We formulat...
Keywords: Autonomous Modular Vehicle Technology (AMVT); Autonomous Modular Public Transit (AMPT); Gridded fixed-route transit network; Pod; Joining/disjoining of pods; Agency and passenger costs

Podium Session 2: Modeling Multi-Modal Curbside Usage in Dynamic Networks

Title: Modeling Multi-Modal Curbside Usage in Dynamic Networks
Authors: Jiachao Liu, Sean Qian
Abstract: The proliferation of emerging mobility technology has led to a significant increase in demand for ride-hailing services, on-demand deliveries, and micro-mobility services, transforming curb spaces into valuable public infrastructure for which multi-modal transportation competes. However, the increasing utilization of curbs by different traffic mode...
Keywords: Dynamic traffic assignment; Curbside management; Mesoscopic traffic simulation; Dynamic OD demand estimation; Computational graph

Podium Session 2: Dynamic Usage Allocation and Pricing for Curbside Space Operation

Title: Dynamic Usage Allocation and Pricing for Curbside Space Operation
Authors: Jisoon Lim, Neda Masoud
Abstract: The importance of curbside management is quickly growing in a modernized urban setting. Dynamic allocation of curb space to different usages and dynamic pricing for those usages can help meet the growing demand for curb space more effectively and promote user turnover. To model curbside operations, we formulate a Stackelberg leader-follower game be...
Keywords: Curb space operation; Stackelberg game; Bi-level optimization; KKT conditions; Benders decomposition

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

Podium Session 3: Destroying Phantom Jams with Connectivity and Automation: Nonlinear Dynamics and Control of Mixed Traffic

Title: Destroying Phantom Jams with Connectivity and Automation: Nonlinear Dynamics and Control of Mixed Traffic
Authors: Tamas G. Molnar, Gábor Orosz
Abstract: Connected automated vehicles (CAVs) have the potential to improve the efficiency of vehicular traffic. In this paper, we discuss how CAVs can positively impact the dynamic behavior of mixed traffic systems on highways through the lens of nonlinear dynamics theory. First, we show that human-driven traffic exhibits a bistability phenomenon, in which ...
Keywords: Connected automated vehicle; Mixed traffic; Nonlinear dynamics; Time delay

Podium Session 3: Disturbances and Safety Analysis of Linear Adaptive Cruise Control for Cut-in Scenarios: A Theoretical Framework

Title: Disturbances and Safety Analysis of Linear Adaptive Cruise Control for Cut-in Scenarios: A Theoretical Framework
Authors: Zihao Li, Yang Zhou, Danjue Chen, Yunlong Zhang
Abstract: Although adaptive cruise control (ACC) has been widely analyzed in the car-following process, the way it reacts to cut-in maneuvers has been largely ignored. The cut-in maneuvers may trigger multiple disturbances to traffic, resulting in traffic oscillations and corresponding rear-end crashes. Hence, this study provides a theoretical analysis frame...
Keywords: Automated Vehicle (AV); Disturbance analysis; Adaptive Cruise Control (ACC); Cut-in scenarios

Podium Session 3: On Dynamic Fundamental Diagrams: Implications for Automated Vehicles

Title: On Dynamic Fundamental Diagrams: Implications for Automated Vehicles
Authors: Jiwan Jiang, Yang Zhou, Xin Wang, Soyoung (Sue) Ahn
Abstract: The traffic fundamental diagram (FD) describes the relationships among fundamental traffic variables of flow, density, and speed. FD represents fundamental properties of traffic streams, giving insights into traffic performance. This paper presents a theoretical investigation of dynamic FD properties, derived directly from vehicle car-following (co...
Keywords: Automated vehicles; Fundamental diagram; Traffic hysteresis; Traffic oscillation

Podium Session 4: Bus Stop Spacing with Heterogeneous Trip Lengths and Elastic Demand

Title: Bus Stop Spacing with Heterogeneous Trip Lengths and Elastic Demand
Authors: Ayush Pandey, Lewis J. Lehe
Abstract: This paper develops models of a bus route in which (i) stop spacing can vary; (ii) trip lengths are heterogeneous; (iii) demand is elastic; and (iv) passengers delay the bus. Since wider spacings make sufficiently long trips faster, and sufficiently short trips slower, they induce long trips and repel short trips. We explore two continuum-approxima...
Keywords: Bus stops; Economics; Elastic demand; Stop spacing; Bus equilibrium

Podium Session 4: Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services

Title: Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services
Authors: Max T.M. Ng, Hani S. Mahmassani, Ömer Verbas, Taner Cokyasar, Roman Engelhardt
Abstract: This study addresses a large-scale multimodal transit network design problem, with Shared Autonomous Mobility Services (SAMS) as both transit feeders and an origin-to-destination mode. The framework captures spatial demand and modal characteristics, considers intermodal transfers and express services, determines transit infrastructure investment an...
Keywords: Transit network design; Multimodal; Network optimization; Shared Autonomous Mobility Services (SAMS); Autonomous vehicles

Podium Session 4: Design of Mixed Fixed-Flexible Bus Public Transport Networks by Tracking the Paths of On-Demand Vehicles

Title: Design of Mixed Fixed-Flexible Bus Public Transport Networks by Tracking the Paths of On-Demand Vehicles
Authors: Andrés Fielbaum, Javier Alonso-Mora
Abstract: On-demand ridepooling (ODRP) vehicles follow routes that are fully flexible. However, when the system does not provide door-to-door service and users can be asked to walk, their paths tend to concentrate, particularly along main streets that connect highly demanded areas of the city. These frequently travelled segments are hence useful to multiple ...
Keywords: Public transport design; On-demand mobility; Ridepooling; Walking legs; Fixed routes

Podium Session 5: Hypercongestion, Autonomous Vehicle, and Urban Spatial Structure

Title: Hypercongestion, Autonomous Vehicle, and Urban Spatial Structure
Authors: Takao Dantsuji, Yuki Takayama
Abstract: This paper examines the effects of hypercongestion mitigation by perimeter control and the introduction of autonomous vehicles on the spatial structures of cities. By incorporating a bathtub model, we develop a land use model where hypercongestion occurs in the downtown area and interacts with land use. We show that hypercongestion mitigation by pe...
Keywords: Hypercongestion; Perimeter control; Autonomous vehicle; Bathtub model; Land use model

Podium Session 5: How and When Cordon Metering Can Reduce Travel Times

Title: How and When Cordon Metering Can Reduce Travel Times
Authors: Jean Doig, Carlos F. Daganzo, Michael J. Cassidy
Abstract: The paper addresses two questions regarding cordon metering that have until now gone unanswered. The first of these pertains to how and where a metered cordon ought to be placed in a city to be of greatest benefit. A simple 3-step rule is proposed that can be readily applied in real settings, and that we call the cordon layout conjecture, or CLC. I...
Keywords: Urban congestion; Cordon metering; Traffic management

Podium Session 5: N‑MP: A Network-State-Based Max Pressure Algorithm Incorporating Regional Perimeter Control

Title: N-MP: A Network-State-Based Max Pressure Algorithm Incorporating Regional Perimeter Control
Authors: Hao Liu, Vikash V. Gayah
Abstract: The Max Pressure (MP) framework has been shown to be an effective real-time decentralized traffic signal control algorithm. However, despite its superior performance and desirable features – such as the maximum stability property – it may still suffer from deterioration in network mobility due to the rise of congestion within specific regions of an...
Keywords: Max pressure; Perimeter control; Decentralized traffic signal control; Connected vehicles; Multi-scale traffic control

Podium Session 5: Integrated Departure and Boundary Control for Low-Altitude Air City Transport Systems

Title: Integrated Departure and Boundary Control for Low-Altitude Air City Transport Systems
Authors: Yazan Safadi, Nikolas Geroliminis, Jack Haddad
Abstract: Connectivity and digitalization will enable new control measures in urban air mobility operations and open new ways for integrating these measures in real-time traffic management. Hence, new control strategies can be designed to regulate both demand and supply of LowAltitude Air city Transport (LAAT) systems. This can be achieved by adjusting aircr...
Keywords: Traffic management and control; Traffic flow; Feedback control; Low-altitude air city transport system; Macroscopic fundamental diagram

Podium Session 6: A Generalized Rationally Inattentive Route Choice Model with Non-uniform Marginal Information Costs

Title: A Generalized Rationally Inattentive Route Choice Model with Non-uniform Marginal Information Costs
Authors: Bo Zhou, Ronghui Liu
Abstract: Information consumes attention. In the information-rich society, a wealth of information can support decision-making, but it can also create poverty of attention to and inability to make the best use of information. This study applies the theory of rational inattention in modelling traveller’s route choice behaviour, where the attention (costs) to ...
Keywords: Route choice; Rational inattention; Non-uniform marginal information costs; Closed-form expression

Podium Session 6: Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach

Title: Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach
Authors: Shan Yang, Yang Liu
Abstract: This study proposes a learning-based approach to tackle the challenge of joint adaptive routing in stochastic traffic networks with Connected Vehicles (CVs). We introduce a Markov Routing Game (MRG) to model the adaptive routing behavior of all vehicles in such networks, thereby incorporating both competitive route choices and real-time decision-ma...
Keywords: Markov routing game; Connected vehicles; Joint adaptive routing; Mean-field multi-agent reinforcement learning; Stochastic traffic network

Podium Session 6: Estimating Markov Chain Mixing Times: Convergence Rate Towards Equilibrium of a Stochastic Process Traffic Assignment Model

Title: Estimating Markov Chain Mixing Times: Convergence Rate Towards Equilibrium of a Stochastic Process Traffic Assignment Model
Authors: Takamasa Iryo, David Watling, Martin Hazelton
Abstract: Network equilibrium models have been extensively used for decades. The rationale for using equilibrium as a predictor is essentially that (i) a unique and globally stable equilibrium point is guaranteed to exist, and (ii) the transient period over which a system adapts to a change is sufficiently short in time that it can be neglected. However, we ...
Keywords: Markov chain mixing time; Day-to-day dynamics; Stochastic traffic assignment process

Podium Session 6: A Day-to-Day Dynamical Approach to the Most Likely User Equilibrium Problem

Title: A Day-to-Day Dynamical Approach to the Most Likely User Equilibrium Problem
Authors: Jiayang Li, Qianni Wang, Liyang Feng, Jun Xie, Yu (Marco) Nie
Abstract: The lack of a unique user equilibrium (UE) route flow in traffic assignment has posed a significant challenge to many transportation applications. The maximum-entropy principle, which advocates for the consistent selection of the most likely solution, is often used to address the challenge. Built on a recently proposed day-to-day (DTD) discrete-tim...
Keywords: Maximum entropy; Traffic assignment; Cumulative logit; Day-to-day dynamical model; Proportionality condition

Podium Session 7: Reliability Premium: A Unified Conceptual Framework for the Cost of Travel Time Variability

Title: Reliability Premium: A Unified Conceptual Framework for the Cost of Travel Time Variability
Authors: Zhaoqi Zang, Richard Batley, David Z.W. Wang, Hong K. Lo
Abstract: This paper proposes the reliability premium to capture the cost of travel time variability (TTV) directly and intuitively. Its appealing properties enable it to offer a unified framework for both (1) evaluating the cost of TTV in time units from the traveler’s perspective when making route choice decisions and (2) valuing the monetary cost of TTV f...
Keywords: Travel time variability; Risk; Cost; Value of reliability; Reliability premium

Podium Session 7: A Paradox of Telecommuting and Staggered Work Hours in the Bottleneck Model

Title: A Paradox of Telecommuting and Staggered Work Hours in the Bottleneck Model
Authors: Takara Sakai, Takashi Akamatsu, Koki Satsukawa
Abstract: We study the long- and short-term effects of telecommuting (TLC), staggered work hours (SWH), and their combined scheme on peak-period congestion and location patterns. In order to enable a unified comparison of the schemes’ long- and short-term effects, we develop a novel equilibrium analysis approach that consistently synthesizes the long-term eq...
Keywords: Bottleneck model; Corridor network; Telecommuting; Staggered work hours; Departure time choice; Location choice

Podium Session 7: Collective Departure Time Allocation in Large-Scale Urban Networks: A Flexible Modeling Framework with Trip Length and Desired Arrival Time Distributions

Title: Collective Departure Time Allocation in Large-Scale Urban Networks: A Flexible Modeling Framework with Trip Length and Desired Arrival Time Distributions
Authors: Mostafa Ameli, Jean-Patrick Lebacque, Negin Alisoltani, Ludovic Leclercq
Abstract: Urban traffic congestion remains a persistent issue for cities worldwide. Recent macroscopic models have adopted a mathematically well-defined relation between network flow and density to characterize traffic states over an urban region. Despite advances in these models, capturing the complex dynamics of urban traffic congestion requires considerin...
Keywords: Traffic congestion; Peak-hour traffic dynamics; Macroscopic model; Social optimum; Generalized bathtub model; Morning commute problem; System optimum; Network equilibrium; Marginal travel cost

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

Podium Session 8: Design an Intermediary Mobility-As-A-Service (MaaS) Platform Using Many-To-Many Stable Matching Framework

Title: Design an Intermediary Mobility-As-A-Service (MaaS) Platform Using Many-To-Many Stable Matching Framework
Authors: Rui Yao, Kenan Zhang
Abstract: Mobility-as-a-service (MaaS) provides seamless door-to-door trips by integrating different transport modes. Although many MaaS platforms have emerged in recent years, most of them remain at a limited integration level. This study investigates the assignment and pricing problem for a MaaS platform as an intermediary in a multi-modal transportation n...
Keywords: mobility-as-a-service (MaaS); many-to-many stable matching; network design; multi-modal traffic assignment

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)

Podium Session 8: On-Demand Meal Delivery: A Markov Model for Circulating Couriers

Title: On-Demand Meal Delivery: A Markov Model for Circulating Couriers
Authors: Michael G H Bell, Dat Tien Le, Jyotirmoyee Bhattacharjya, Glenn Geers
Abstract: On-demand meal delivery has become a feature of most cities around the world as a result of platforms and apps that facilitate it, as well as the pandemic, which for a period closed restaurants. Meals are delivered by couriers, typically on bikes, e-bikes or scooters, who circulate collecting meals from kitchens and delivering them to customers, wh...
Keywords: Ghost kitchens; On-demand delivery; Markov chains

Podium Session 9: Microscopic Discontinuities Disrupting Hydrodynamic and Continuum Traffic Flow Models

Title: Microscopic Discontinuities Disrupting Hydrodynamic and Continuum Traffic Flow Models
Authors: Benjamin Coifman
Abstract: Hydrodynamic and continuum traffic flow models usually require that traffic states are stationary for the model assumptions to hold. The reproducibility of a concave fundamental diagram, FD, is typically assumed to also demonstrate that the underlying states are sufficiently near stationary. This paper uses loop detector data from five locations to...
Keywords: Fundamental diagram; Vehicle detection; Traffic flow theory; Hydrodynamic traffic flow; Continuum traffic flow model

Podium Session 9: A Game-Theoretic Framework for Generic Second Order Traffic Flow Using Mean Field Games and Adversarial Inverse Reinforcement Learning

Title: A Game-Theoretic Framework for Generic Second Order Traffic Flow Using Mean Field Games and Adversarial Inverse Reinforcement Learning
Authors: Zhaobin Mo, Xu Chen, Xuan Di, Elisa Iacomini, Chiara Segala, Michael Herty, Mathieu Lauriere
Abstract: A traffic system can be interpreted as a multi-agent system, wherein vehicles choose the most efficient driving approaches guided by inter-connected goals or strategies. This paper aims to develop a family of mean field games (MFG) for generic second-order traffic flow models (GSOM), in which cars control individual velocity to optimize their objec...
Keywords: Mean field game (MFG); Generic second traffic flow model; Adversarial Inverse Reinforcement Learning (AIRL)

Podium Session 9: Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space

Title: Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space
Authors: Irene Martínez, Wenlong Jin
Abstract: Agent-based models have been extensively used to simulate the behavior of travelers in transportation systems because they allow for realistic and versatile modeling of interactions. However, traditional agent-based models suffer from high computational costs and rely on tracking physical locations, raising privacy concerns. This paper proposes an ...
Keywords: Agent-based bathtub model; efficient simulation model; priority queue relative space; trip travel time distribution

Podium Session 9: Data Poisoning Attacks on Traffic State Estimation and Prediction

Title: Data Poisoning Attacks on Traffic State Estimation and Prediction
Authors: Feilong Wang, Xin Wang, Yuan Hong, R. Tyrrell Rockafellarc, Jeff Ban
Abstract: Data has become ubiquitous nowadays in transportation, including vehicular data and infrastructure-generated data. The growing reliance on data poses potential cybersecurity issues to transportation systems, among which the so-called “data poisoning” attacks by adversaries are becoming increasingly critical. Such attacks aim to compromise a system’...
Keywords: Data poisoning attacks; Attack model; Traffic state estimation and prediction; Lipschitz continuity; Semi-derivatives

Podium Session 10: Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach

Title: Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
Authors: Qiqing Wang, Kaidi Yang
Abstract: This paper proposes a privacy-preserving data fusion method for traffic state estimation (TSE). Unlike existing works that assume all data sources to be accessible by a single trusted party, we explicitly address data privacy concerns that arise in the collaboration and data sharing between multiple data owners, such as municipal authorities (MAs) ...
Keywords: Data Fusion; Federated Learning; Data Privacy; Traffic State Estimation; Traffic Flow Theory

Podium Session 10: Implications of Stop-and-Go Traffic on Training Learning-Based Car-Following Control

Title: Implications of Stop-and-Go Traffic on Training Learning-Based Car-Following Control
Authors: Anye Zhou, Srinivas Peeta, Hao Zhou, Jorge Laval, Zejiang Wang, Adian Cook
Abstract: Learning-based car-following control (LCC) of connected and autonomous vehicles (CAVs) is gaining significant attention with the advancement of computing power and data accessibility. While the flexibility and large model capacity of model-free architecture enable LCC to potentially outperform the model-based car-following (CF) model in improving t...
Keywords: Car-following control; System identification; Behavior cloning; Deep reinforcement learning; Generalizability

Podium Session 10: Uncovering Physics-Regularized Data Generation Processes for Individual Human Mobility: A Multi-Task Gaussian Process Approach Based on Multiple Kernel Learning

Title: Uncovering Physics-Regularized Data Generation Processes for Individual Human Mobility: A Multi-Task Gaussian Process Approach Based on Multiple Kernel Learning
Authors: Ekin Uğurel, Shuai Huang, Cynthia Chen
Abstract: Passively-generated mobile data has grown increasingly popular in the travel behavior (or human mobility) literature. A relatively untapped potential for passively-generated mobile data is synthetic population generation, which is the basis for any large-scale simulations for purposes ranging from state monitoring, policy evaluation, and digital tw...
Keywords: Synthetic mobile data; Gaussian process; Multiple kernel Learning; Physics-regularization; Travel behavior

Podium Session 10: Calibrating Car-Following Models via Bayesian Dynamic Regression

Title: Calibrating Car-Following Models via Bayesian Dynamic Regression
Authors: Chengyuan Zhang, Wenshuo Wang, Lijun Sun
Abstract: Car-following behavior modeling is critical for understanding traffic flow dynamics and developing high-fidelity microscopic simulation models. Most existing impulse-response car-following models prioritize computational efficiency and interpretability by using a parsimonious nonlinear function based on immediate preceding state observations. Howev...
Keywords: car-following models; dynamic regression; Bayesian inference; microscopic traffic simulation

Edited by Guoyang Qin

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