Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learning-based Approach

Zhen Qina, Dong-Fan Xie, Heng Ma +2

Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

Jinlei Zhang, Hongshu Che, Feng Chen +2

Locker-based Truck-Drone Routing with Integrated Considerations of Pickups, Deliveries, and No-Fly Zones

Xuanyu Liu, Hui Hu, Jiao Zhao +2

Assessing the dynamic vulnerability of an urban rail transit system and a case study of Beijing, China

Shouzheng Pan, Jia He, Ning Jia +2

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Xiaolei Ma, Zhuang Dai, Zhengbing He +3

A prediction-based forward-looking vehicle dispatching strategy for dynamic ride-pooling

Xiaolei Wang, Chen Yang, Yuzhen Feng +2

Probability-Aware Parking Selection

Cameron Hickert, Sirui Li, Zhengbing He +1

Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling

Jiangtao Han, Shoufeng Ma, Shuxian Xu +4

The paper investigates whether large language models can replicate human route‑choice biases by comparing LLM decisions to patterns predicted by cumulative prospect theory, showing…

Transforming Police-Car Swerving for Mitigating Isolated Stop-and-Go Traffic Waves: A Practice-Oriented Jam-Absorption Driving Strategy

Zhengbing He

A Survey on Large Language Model-empowered Autonomous Driving

Yuxuan Zhu, Shiyi Wang, Wenqing Zhong +7

Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

Lei Lin, Zhengbing He, Srinivas Peeta

ROAR: Robust Accident Recognition and Anticipation for Autonomous Driving

Xingcheng Liu, Yanchen Guan, Haicheng Liao +2

AI-Driven Day-to-Day Route Choice

Leizhen Wang, Peibo Duan, Zhengbing He +5

On the precise quantification of the impact of a single discretionary lane change on surrounding traffic

Kangning Hou, Jia Zou, Fangfang Zheng +2

Refining time-space traffic diagrams: A simple multiple linear regression model

Zhengbing He

Refining time-space traffic diagrams: A neighborhood-adaptive linear regression method

Zhihong Yao, Yi Yu, Yunxia Wu +3

Investigating day-to-day route choices based on multi-scenario laboratory experiments. Part I: Route-dependent attraction and its modeling

Hang Qi, Ning Jia, Xiaobo Qu +1

Estimating City-wide Operating Mode Distribution of Light-Duty Vehicles: A Neural Network-based Approach

Muhammad Usama, Haris N. Koutsopoulos, Zhengbing He +1

When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior

Chengyuan Zhang, Zhengbing He, Cathy Wu +1

NeuralMOVES: A lightweight and microscopic vehicle emission estimation model based on reverse engineering and surrogate learning

Edgar Ramirez-Sanchez, Catherine Tang, Yaosheng Xu +4

A Review of Stop-and-Go Traffic Wave Suppression Strategies: Variable Speed Limit vs. Jam-Absorption Driving

Zhengbing He, Jorge Laval, Yu Han +3

Estimating link level traffic emissions: enhancing MOVES with open-source data

Lijiao Wang, Muhammad Usama, Haris N. Koutsopoulos +1

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting

Haicheng Liao, Hanlin Kong, Bonan Wang +5

Route guidance strategies revisited: Comparison and evaluation in an asymmetric two-route traffic system

Zhengbing He, Ning Jia, Wei Guan

Interaction-aware Lane-Changing Early Warning System in Congested Traffic

Yue Zhang, Xinzhi Zhong, Soyoung Ahn +2

A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions

Linxuan Huang, Dong-Fan Xie, Li Li +1

Investigating and modeling day-to-day route choices based on laboratory experiments. Part II: A route-dependent attraction-based stochastic process model

Hang Qi, Ning Jia, Xiaobo Qu +1

Exploring the relationship between built environment and bike-sharing demand: Does the trip length matter?

Feiyang Wang, Chaoying Yin, Ximing Chang +2

Constructing the fundamental diagrams of traffic flow from large-scale vehicle trajectory data

Zhengbing He, Cathy Wu

Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China

Zhengbing He

Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding

Kunpeng Zhang, Lan Wu, Liang Zheng +2

MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling

Ronghui Zhang, Wenbin Xing, Mengran Li +5

Speed Limit: Obey, or Not Obey?

Zhengbing He, Mirco Nanni, Luca Pappalardo +2