Development of a Kinematic-Based Forward Collision Warning Algorithm Using an Advanced Driving Simulator. - Xuesong Wang 006; Ming Chen; Meixin Zhu; Paul Tremont (IEEE Trans. Intell. Transp. Syst., 2016)

Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study. - Meixin Zhu; Xuesong Wang 006; Andrew P. Tarko; Shou'en Fang (CoRR, 2018)

Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning. - Meixin Zhu; Xuesong Wang 006; Yinhai Wang (CoRR, 2019)

Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. - Meixin Zhu; Yinhai Wang; Jingyun Hu; Xuesong Wang 006; Ruimin Ke (CoRR, 2019)

Personalized Context-Aware Multi-Modal Transportation Recommendation. - Meixin Zhu; Jingyun Hu; Hao (Frank) Yang; Ziyuan Pu; Yinhai Wang (CoRR, 2019)

Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data. - Ziyuan Pu; Meixin Zhu; Zhiyong Cui; Yinhai Wang (CoRR, 2019)

Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment. - Meixin Zhu; Jingyun Hu; Ziyuan Pu; Zhiyong Cui; Liangwu Yan; Yinhai Wang (CoRR, 2019)

IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. - Ruimin Ke; Zhiyong Cui; Yanlong Chen; Meixin Zhu; Yinhai Wang (CoRR, 2020)

Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices. - Ziyuan Pu; Meixin Zhu; Wenxiang Li; Zhiyong Cui; Xiaoyu Guo 006; Yinhai Wang (IEEE Internet Things J., 2021)

TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer. - Meixin Zhu; Simon S. Du; Xuesong Wang 006; Hao (Frank) Yang; Ziyuan Pu; Yinhai Wang (CoRR, 2022)

Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy. - Hong Wang 001; Meixin Zhu; Wanshi Hong; Chieh Wang 001; Gang Tao; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification. - Hao Yang 018; Jiarui Cai; Meixin Zhu; Chenxi Liu; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2022)

How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network. - Hao Yang 018; Chenxi Liu; Meixin Zhu; Xuegang Ban; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2022)

EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction. - Kehua Chen; Xianda Chen; Zihan Yu; Meixin Zhu; Hai Yang 003 (ITSC, 2023)

A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge. - Yuchuan Du; Jing Chen; Cong Zhao; Feixiong Liao; Meixin Zhu (Comput. Aided Civ. Infrastructure Eng., 2023)

Catch Planner: Catching High-Speed Targets in the Flight. - Huan Yu; Pengqin Wang; Jin Wang 015; Jialin Ji; Zhi Zheng; Jie Tu; Guodong Lu; Jun Meng; Meixin Zhu; Shaojie Shen; Fei Gao 011 (CoRR, 2023)

ENTROPY: Environment Transformer and Offline Policy Optimization. - Pengqin Wang; Meixin Zhu; Shaojie Shen (CoRR, 2023)

FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling. - Xianda Chen; Meixin Zhu; Kehua Chen; Pengqin Wang; Hongliang Lu; Hui Zhong; Xu Han 017; Yinhai Wang (CoRR, 2023)

EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning. - Xu Han 017; Xianda Chen; Meixin Zhu; Pinlong Cai; Jianshan Zhou; Xiaowen Chu 001 (CoRR, 2023)

BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning. - Pengqin Wang; Meixin Zhu; Hongliang Lu; Hui Zhong; Xianda Chen; Shaojie Shen; Xuesong Wang 006; Yinhai Wang (CoRR, 2023)

Network-Wide Traffic Signal Control Using Bilinear System Modeling and Adaptive Optimization. - Hong Wang 001; Meixin Zhu; Wanshi Hong; Chieh Ross Wang; Wan Li; Gang Tao; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2023)

Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging. - Ruimin Ke; Zhiyong Cui; Yanlong Chen; Meixin Zhu; Hao (Frank) Yang; Yifan Zhuang; Yinhai Wang (IEEE Trans. Intell. Veh., 2023)

Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning. - Pengqin Wang; Meixin Zhu; Shaojie Shen (IROS, 2024)

Generating and Evolving Reward Functions for Highway Driving with Large Language Models. - Xu Han 017; Qiannan Yang; Xianda Chen; Xiaowen Chu 001; Meixin Zhu (ITSC, 2024)

Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments. - Xianda Chen; PakHin Tiu; Xu Han 017; Junjie Chen; Yuanfei Wu; Xinhu Zheng; Meixin Zhu (ITSC, 2024)

A Hippocampus-Inspired Dynamic Planning Method for Overtaking Scenes via Predictive Map. - Yupei Liu; Danni Chen; Chao Lu 006; Hongliang Lu; Meixin Zhu (ITSC, 2024)

EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption. - Hui Zhong; Xianda Chen; PakHin Tiu; Hongliang Lu; Meixin Zhu (ITSC, 2024)

Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles. - Xianda Chen; PakHin Tiu; Yihuai Zhang; Meixin Zhu; Xinhu Zheng; Yinhai Wang (IV, 2024)

Personalized Context-Aware Multi-Modal Transportation Recommendation. - Xianda Chen; Meixin Zhu; PakHin Tiu; Yinhai Wang (IV, 2024)

Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI. - Junyue Jiang; Hongliang Lu; Chenxi Liu; Meixin Zhu; Yiran Chen 001; Hao (Frank) Yang (IV, 2024)

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction. - Yuhao Luo; Kehua Chen; Meixin Zhu (IV, 2024)

Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning. - Xiaoyun Qiu; Yue Pan; Meixin Zhu; Liuqing Yang 001; Xinhu Zheng (IV, 2024)

Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems. - Hao (Frank) Yang; Yang Zhao 013; Jiarui Cai; Meixin Zhu; Jenq-Neng Hwang; Yiran Chen 001 (IV, 2024)

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. - Chengyuan Zhang 002; Kehua Chen; Meixin Zhu; Hai Yang 003; Lijun Sun 001 (IV, 2024)

Learning Realistic and Reactive Traffic Agents. - Meixin Zhu; Di Chen; Xinyi Yuan; Zhiwei Shang; Chenxi Liu (IV, 2024)

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models. - Mingxing Peng; Xusen Guo; Xianda Chen; Meixin Zhu; Kehua Chen; Hao Yang 018; Xuesong Wang 006; Yinhai Wang (CoRR, 2024)

Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models. - Xusen Guo; Qiming Zhang; Junyue Jiang; Mingxing Peng; Hao Yang 018; Meixin Zhu (CoRR, 2024)

MetaFollower: Adaptable Personalized Autonomous Car Following. - Xianda Chen; Kehua Chen; Meixin Zhu; Hao Yang 018; Shaojie Shen; Xuesong Wang 006; Yinhai Wang (CoRR, 2024)

EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems. - Xianda Chen; Xu Han 017; Meixin Zhu; Xiaowen Chu 001; PakHin Tiu; Xinhu Zheng; Yinhai Wang (CoRR, 2024)

GenFollower: Enhancing Car-Following Prediction with Large Language Models. - Xianda Chen; Mingxing Peng; PakHin Tiu; Yuanfei Wu; Junjie Chen; Meixin Zhu; Xinhu Zheng (CoRR, 2024)

From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving. - Xu Han 017; Xianda Chen; Zhenghan Cai; Pinlong Cai; Meixin Zhu; Xiaowen Chu 001 (CoRR, 2024)

How to predict on-road air pollution based on street view images and machine learning: a quantitative analysis of the optimal strategy. - Hui Zhong; Di Chen; Pengqin Wang; Wenrui Wang; Shaojie Shen; Yonghong Liu; Meixin Zhu (CoRR, 2024)

Diffusion Models for Intelligent Transportation Systems: A Survey. - Mingxing Peng; Kehua Chen; Xusen Guo; Qiming Zhang; Hongliang Lu; Hui Zhong; Di Chen; Meixin Zhu; Hai Yang 003 (CoRR, 2024)

Automating Traffic Model Enhancement with AI Research Agent. - Xusen Guo; Xinxi Yang; Mingxing Peng; Hongliang Lu; Meixin Zhu; Hai Yang 003 (CoRR, 2024)

HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective. - Pei Liu; Zihao Zhang; Haipeng Liu; Nanfang Zheng; Meixin Zhu; Ziyuan Pu (CoRR, 2024)

Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control. - Xinyi Yuan; Zhiwei Shang; Zifan Wang; Chenkai Wang; Zhao Shan; Zhenchao Qi; Meixin Zhu; Chenjia Bai; Xuelong Li 001 (CoRR, 2024)

Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach. - Pei Liu; Haipeng Liu; Yiqun Li; Tianyu Shi; Meixin Zhu; Ziyuan Pu (CoRR, 2024)

Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections. - Di Chen; Ruiguo Zhong; Kehua Chen; Zhiwei Shang; Meixin Zhu; Edward Chung 001 (CoRR, 2024)

Real-Time Multi-Task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence. - Chenxi Liu; Hao (Frank) Yang; Meixin Zhu; Feilong Wang; Torgeir Vaa; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2024)

LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving. - Zihan Yu; Meixin Zhu; Kehua Chen; Xiaowen Chu 001; Xuesong Wang 006 (IEEE Trans. Intell. Veh., 2024)

Data-Driven Traffic Simulation: A Comprehensive Review. - Di Chen; Meixin Zhu; Hao Yang 018; Xuesong Wang 006; Yinhai Wang (IEEE Trans. Intell. Veh., 2024)

Enhancing Interpretability of Autonomous Driving via Human-Like Cognitive Maps: A Case Study on Lane Change. - Hongliang Lu; Yupei Liu; Meixin Zhu; Chao Lu 006; Hai Yang 003; Yinhai Wang (IEEE Trans. Intell. Veh., 2024)

Risk-Aware Net: An Explicit Collision-Constrained Framework for Enhanced Safety Autonomous Driving. - Zihan Yu; Meixin Zhu; Xiaowen Chu 001 (IEEE Robotics Autom. Lett., 2024)

Risk-Anticipatory Autonomous Driving Strategies Considering Vehicles' Weights Based on Hierarchical Deep Reinforcement Learning. - Di Chen; Hao Li 104; Zhicheng Jin; Huizhao Tu; Meixin Zhu (IEEE Trans. Intell. Transp. Syst., 2024)

Human-Like Interactive Lane-Change Modeling Based on Reward-Guided Diffusive Predictor and Planner. - Kehua Chen; Yuhao Luo; Meixin Zhu; Hai Yang 003 (IEEE Trans. Intell. Transp. Syst., 2025)

Effective Reinforcement Learning Control using Conservative Soft Actor-Critic. - Xinyi Yuan; Zhiwei Shang; Wenjun Huang; Yunduan Cui; Di Chen; Meixin Zhu (CoRR, 2025)

EditFollower: Tunable Car Following Models for Customizable Driving Behavior. - Xianda Chen; Xu Han 017; Meixin Zhu; Xiaowen Chu 001; PakHin Tiu; Xinhu Zheng; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2025)