Short-Term Traffic Flow Prediction: An Integrated Method of Econometrics and Hybrid Deep Learning. - Zeyang Cheng; Jian Lu; Huajian Zhou; Yibin Zhang; Lin Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai. - Zeyang Cheng; Jinghui Yuan; Bo Yu; Jian Lu; Yi Zhao (IEEE Trans. Intell. Transp. Syst., 2022)

A Superposition Assessment Method of Road Crash Risk and Congestion Risk: An Empirical Analysis. - Zeyang Cheng; Weihua Zhang; Jian Lu; Bo Yu; Shiguang Wang (IEEE Trans. Intell. Transp. Syst., 2023)

A Superposition Assessment Framework of Multi-Source Traffic Risks for Mega-Events Using Risk Field Model and Time-Series Generative Adversarial Networks. - Zeyang Cheng; Jian Lu; Heng Ding; Yunxuan Li; Haijian Bai; Weihua Zhang (IEEE Trans. Intell. Transp. Syst., 2023)

Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment. - Bo Yu; Xiangyu Feng; You Kong; Yuren Chen; Zeyang Cheng; Shan Bao (Eng. Appl. Artif. Intell., 2024)

A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method. - Bo Yu; Kun Gao 004; Zeyang Cheng; Yuren Chen; Lishengsa Yue (IEEE Trans. Intell. Transp. Syst., 2024)

Driving Safety Risk Analysis and Assessment in a Mixed Driving Environment of Connected and Non-Connected Vehicles: A Systematic Survey. - Zeyang Cheng; Jinyang Zhu; Zhongxiang Feng; Mengmeng Yang; Weihua Zhang; Jin Chen (IEEE Trans. Intell. Transp. Syst., 2025)