Pedestrian-vehicular collision avoidance based on vision system. - Zhijun Chen; Chaozhong Wu; Nengchao Lyu; Gang Liu; Yi He (ITSC, 2014)

Feature selection with redundancy-complementariness dispersion. - Zhijun Chen; Chaozhong Wu; Yishi Zhang; Zhen Huang; Bin Ran; Ming Zhong 004; Nengchao Lyu (Knowl. Based Syst., 2015)

Dangerous driving behavior detection using video-extracted vehicle trajectory histograms. - Zhijun Chen; Chaozhong Wu; Zhen Huang; Nengchao Lyu; Zhaozheng Hu; Ming Zhong 004; Yang Cheng; Bin Ran (J. Intell. Transp. Syst., 2017)

Modeling Vehicle Collision Angle in Traffic Crashes Based on Three-Dimensional Laser Scanning Data. - Nengchao Lyu; Gang Huang; Chaozhong Wu; Zhicheng Duan; Pingfan Li (Sensors, 2017)

Vehicle Behavior Learning via Sparse Reconstruction with ℓ2-ℓp Minimization and Trajectory Similarity. - Zhijun Chen; Chaozhong Wu; Yishi Zhang; Zhen Huang; Junfeng Jiang; Nengchao Lyu; Bin Ran (IEEE Trans. Intell. Transp. Syst., 2017)

Take-Over Performance and Safety Analysis Under Different Scenarios and Secondary Tasks in Conditionally Automated Driving. - Chaozhong Wu; Haoran Wu; Nengchao Lyu; Mengfan Zheng (IEEE Access, 2019)

Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model. - Hasan Abdullah Hasan Naji; Qingji Xue; Ke Zheng; Nengchao Lyu (Sensors, 2020)

Addressing Driving Actions of At-Fault Older Drivers: Bayesian Bivariate Ordered Probit Analysis. - Daiquan Xiao; Xuecai Xu; Changxi Ma; Nengchao Lyu (IEEE Access, 2021)

Safety margins - a novel approach from risk homeostasis theory for evaluating the impact of advanced driver assistance systems on driving behavior in near-crash events. - Nengchao Lyu; Zhicheng Duan; Changxi Ma; Chaozhong Wu (J. Intell. Transp. Syst., 2021)

Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked AutoEncoder-Gated Recurrent Unit. - Wei Hao 002; Donglei Rong; Zhaolei Zhang; Qiyu Wu 003; Young-Ji Byon; Kefu Yi; Jinjun Tang; Nengchao Lyu (IEEE Trans. Intell. Transp. Syst., 2022)

Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment. - Nengchao Lyu; Jiaqiang Wen; Zhicheng Duan; Chaozhong Wu (IEEE Trans. Intell. Transp. Syst., 2022)

A Longitudinal Velocity CF-MPC Model for Connected and Automated Vehicle Platooning. - Jianghui Wen; Shuai Wang; Chaozhong Wu; Xinping Xiao; Nengchao Lyu (IEEE Trans. Intell. Transp. Syst., 2023)

Integrating Surrounding Vehicle Information for Vehicle Trajectory Representation and Abnormal Lane-Change Behavior Detection. - Da Xu; Mengfei Liu; Xinpeng Yao; Nengchao Lyu (Sensors, 2023)

YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion. - Junzhou Chen 001; Heqiang Huang; Ronghui Zhang; Nengchao Lyu; Yanyong Guo; Hong-Ning Dai; Hong Yan (CoRR, 2024)

Modeling risk potential fields for mandatory lane changes in intelligent connected vehicle environment. - Yugang Wang; Nengchao Lyu; Jianghui Wen (Expert Syst. Appl., 2024)

A driver stress detection model via data augmentation based on deep convolutional recurrent neural network. - Qianxi Zhao; Liu Yang; Nengchao Lyu (Expert Syst. Appl., 2024)

A Two-Stage Behavioral Model Considering Vehicle Motion Fluctuations for Decision-Making During Lane Changes in Diverging Areas. - Jiaqiang Wen; Toshiyuki Yamamoto; Nengchao Lyu (Int. J. Intell. Transp. Syst. Res., 2024)

Predictive modeling of vehicle interaction patterns considering drivers intentions under different intelligent connected environments. - Zijun Du; Liu Yang; Nengchao Lyu; Yugang Wang (Expert Syst. Appl., 2025)

Exploring the feasibility and sensitivity of deep reinforcement learning controlled traffic signals in bidirectional two-lane road work zones. - Li Song; Yixuan Lin; Xin Zhao; Nengchao Lyu; Wei Fan (Expert Syst. Appl., 2025)

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting. - Ben-Ao Dai; Nengchao Lyu; Yongchao Miao (CoRR, 2025)

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems. - Hao Wu; Junzhou Chen 001; Ronghui Zhang; Nengchao Lyu; Hongyu Hu; Yanyong Guo; Tony Z. Qiu (CoRR, 2025)