A hybrid deep learning approach for urban expressway travel time prediction considering spatial-temporal features. - Zhihao Zhang; Peng Chen 021; Yunpeng Wang; Guizhen Yu (ITSC, 2017)

The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm. - Peng Chen 021; Rui Tong; Guangquan Lu; Yunpeng Wang (Expert Syst. Appl., 2018)

An Adaptive Control Method for Arterial Signal Coordination Based on Deep Reinforcement Learning. - Peng Chen 021; Zemao Zhu; Guangquan Lu (ITSC, 2019)

Trajectory Reconstruction Using Automated Vehicles Motion Detection Data: A Hybrid Approach Integrating Wiedemann Model and Cellular Automation. - Lei Wei; Yunpeng Wang; Peng Chen 021 (ITSC, 2019)

Modeling arterial travel time distribution by accounting for link correlations: a copula-based approach. - Peng Chen 021; Weiliang Zeng; Min Chen; Guizhen Yu; Yunpeng Wang (J. Intell. Transp. Syst., 2019)

Reliable shortest path finding in stochastic time-dependent road network with spatial-temporal link correlations: A case study from Beijing. - Peng Chen 021; Rui Tong; Bin Yu; Yunpeng Wang (Expert Syst. Appl., 2020)

Cycle-Based End of Queue Estimation at Signalized Intersections Using Low-Penetration-Rate Vehicle Trajectories. - Han Zhang; Henry X. Liu; Peng Chen 021; Guizhen Yu; Yunpeng Wang (IEEE Trans. Intell. Transp. Syst., 2020)

A Particle Filter-Based Approach for Vehicle Trajectory Reconstruction Using Sparse Probe Data. - Lei Wei; Yunpeng Wang; Peng Chen 021 (IEEE Trans. Intell. Transp. Syst., 2021)

Semantic-Level Maneuver Sampling and Trajectory Planning for On-Road Autonomous Driving in Dynamic Scenarios. - Han Li 007; Guizhen Yu; Bin Zhou 007; Peng Chen 021; Yaping Liao; Da Li (IEEE Trans. Veh. Technol., 2021)

Object Classification Based on Enhanced Evidence Theory: Radar-Vision Fusion Approach for Roadside Application. - Pengfei Liu; Guizhen Yu; Zhangyu Wang; Bin Zhou 007; Peng Chen 021 (IEEE Trans. Instrum. Meas., 2022)

FarNet: An Attention-Aggregation Network for Long-Range Rail Track Point Cloud Segmentation. - Zhangyu Wang; Guizhen Yu; Peng Chen 021; Bin Zhou 007; Songyue Yang (IEEE Trans. Intell. Transp. Syst., 2022)

A Topology Guided Method for Rail-Track Detection. - Songyue Yang; Guizhen Yu; Zhangyu Wang; Bin Zhou 007; Peng Chen 021; Qiang Zhang 035 (IEEE Trans. Veh. Technol., 2022)

Optimization-Based Trajectory Planning for Autonomous Driving at Mining Area with Irregular Boundary. - Yiming Li; Guoyan Xu; Han Li 007; Bin Zhou 007; Peng Chen 021; Guizhen Yu (FAIML, 2023)

Lateral Motion Control for Obstacle Avoidance in Autonomous Driving Based on Deep Reinforcement Learning. - Yaping Liao; Guizhen Yu; Peng Chen 021; Bin Zhou 007; Han Li 007 (ITSC, 2023)

RailDepth: A Self-Supervised Network for Railway Depth Completion Based on a Pooling-Guidance Mechanism. - Songyue Yang; Zhangyu Wang; Guizhen Yu; Bin Zhou 007; Peng Chen 021; Sifen Wang; Qiang Zhang 035 (IEEE Trans. Instrum. Meas., 2023)

A Secure Trajectory Planning Method for Connected Autonomous Vehicles at Mining Site. - Han Li 007; Yiming Li; Peng Chen 021; Guizhen Yu; Yaping Liao (Symmetry, 2023)

Dual-Layer Path Planning for Unmanned Ground Vehicles Based on Probabilistic Roadmap and Proximal Policy Optimization. - Zhixuan Han; Peng Chen 021; Bin Zhou 007; Guizhen Yu (INDIN, 2024)

Event-Triggered Mechanism-Based MPC for Path-Tracking Control of Four-Wheel Steering Vehicles. - Xiangyu Zhang; Guoyan Xu; Han Li 007; Peng Chen 021; Qi Xia 002; Han Cai (INDIN, 2024)

A Truck Path Tracking Controller Based on Combined Pure Pursuit and Deep Reinforcement Learning. - Zhixuan Han; Peng Chen 021; Bin Zhou 007; Guizhen Yu (ITSC, 2024)

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Yaru Niu; Wei Tsang Ooi; Benoit R. Cottereau; Lai Xing Ng; Yuexin Ma; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; et al. (CoRR, 2024)

Integration of Decision-Making and Motion Planning for Autonomous Driving Based on Double-Layer Reinforcement Learning Framework. - Yaping Liao; Guizhen Yu; Peng Chen 021; Bin Zhou 007; Han Li 007 (IEEE Trans. Veh. Technol., 2024)

Region-Based Hybrid Collaborative Perception for Connected Autonomous Vehicles. - Pengfei Liu; Zhangyu Wang; Guizhen Yu; Bin Zhou 007; Peng Chen 021 (IEEE Trans. Veh. Technol., 2024)

Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Deep Learning and Quadratic Optimization. - Han Li 007; Peng Chen 021; Guizhen Yu; Bin Zhou 007; Yiming Li; Yaping Liao (IEEE Trans. Veh. Technol., 2024)

Collaborative Trajectory Planning for Autonomous Mining Trucks: A Grouping and Prioritized Optimization Based Approach. - Han Li 007; Peng Chen 021; Guizhen Yu; Bin Zhou 007; Zhixuan Han; Yaping Liao (IEEE Trans. Veh. Technol., 2024)

An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning. - Haoyuan Ni; Guizhen Yu; Peng Chen 021; Bin Zhou 007; Yaping Liao; Han Li 007 (IEEE Trans. Veh. Technol., 2024)

A hierarchical control framework for alleviating network traffic bottleneck congestion using vehicle trajectory data. - Lei Wei; Peng Chen 021; Yu Mei; Jian Sun; Yunpeng Wang (J. Intell. Transp. Syst., 2024)

Dynamic Origin-Destination Flow Imputation Using Feature-Based Transfer Learning. - Peng Chen 021; Ziyan Wang; Bin Zhou 007; Guizhen Yu (IEEE Trans. Intell. Transp. Syst., 2024)

RailBEV: A Vision-Based Bird's-Eye-View Representation Network for 3-D Railway Object Detection. - Wentao Liu; Zhangyu Wang; Guizhen Yu; Peng Chen 021; Songyue Yang (IEEE Trans. Instrum. Meas., 2025)

Multilevel Health Monitoring of Autonomous Mining Trucks Under Complex Time-Varying Conditions. - Chaoqi Zhang 005; Guizhen Yu; Peng Chen 021; Bin Zhou 007 (IEEE Trans. Instrum. Meas., 2025)

Anomaly Detection for Aircraft Control System Based on Prediction and Residual Estimation With Dual Temporal Convolutional Networks. - Chaoqi Zhang 005; Guizhen Yu; Peng Chen 021; Bin Zhou 007; Xinyi Gou (IEEE Trans. Instrum. Meas., 2025)

Real-Time Navigation of Unmanned Ground Vehicles in Complex Terrains With Enhanced Perception and Memory-Guided Strategies. - Zhixuan Han; Peng Chen 021; Bin Zhou 007; Guizhen Yu (IEEE Trans. Veh. Technol., 2025)

Adaptive Path-Tracking Controller Embedded With Reinforcement Learning and Preview Model for Autonomous Driving. - Qi Xia 002; Peng Chen 021; Guoyan Xu; Haodong Sun; Liang Li; Guizhen Yu (IEEE Trans. Veh. Technol., 2025)

Hybrid Path Tracking Control for Autonomous Trucks: Integrating Pure Pursuit and Deep Reinforcement Learning With Adaptive Look-Ahead Mechanism. - Zhixuan Han; Peng Chen 021; Bin Zhou 007; Guizhen Yu (IEEE Trans. Intell. Transp. Syst., 2025)

WaveCRNet: Wavelet Transform-Guided Learning for Semantic Segmentation in Adverse Railway Scenes. - Zhangyu Wang; Zhihao Liao 001; Pengcheng Wang 003; Peng Chen 021; Wenwen Luo (IEEE Trans. Intell. Transp. Syst., 2025)

Reinforcement Learning-Based Adaptive Safety Tracking Controller for Autonomous Mining Trucks. - Qi Xia 002; Peng Chen 021; Guoyan Xu; Bin Zhou 007; Guizhen Yu (IEEE Trans. Veh. Technol., 2025)

RailFusion: A Lidar-Camera Data Interaction Network for 3-D Railway Object Detection. - Wentao Liu; Yunpeng Wang; Guizhen Yu; Zhangyu Wang; Peng Chen 021 (IEEE Trans. Intell. Transp. Syst., 2025)

Efficient Sampling-Based Trajectory Planning With Dual-Layer Probabilistic Intention Prediction for Autonomous Driving in Complex Intersections. - Zhifa Chen; Guizhen Yu; Guoxi Cao; Sifen Wang; Bin Zhou 007; Peng Chen 021 (IEEE Trans. Veh. Technol., 2025)