Modeling road traffic crashes with zero-inflation and site-specific random effects. - Helai Huang; Hoong Chor Chin (Stat. Methods Appl., 2010)

Incorporating transfer reliability into equilibrium analysis of railway passenger flow. - Feng Shi; Zhao Zhou; Jia Yao; Helai Huang (Eur. J. Oper. Res., 2012)

Safety evaluation for driving behaviors under bidirectional looking context. - Liang Zheng 003; Bin Ran; Helai Huang (J. Intell. Transp. Syst., 2017)

Investigation on the injuries of drivers and copilots in rear-end crashes between trucks based on real world accident data in China. - Yong Peng 002; Xinghua Wang; Shuangling Peng; Helai Huang; Guangdong Tian; Hongfei Jia (Future Gener. Comput. Syst., 2018)

A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network. - Jinjun Tang; Shaowei Yu; Fang Liu 021; Xinqiang Chen; Helai Huang (Expert Syst. Appl., 2019)

A Mixed Path Size Logit-Based Taxi Customer-Search Model Considering Spatio-Temporal Factors in Route Choice. - Jinjun Tang; Yiwei Wang; Wei Hao 002; Fang Liu 021; Helai Huang; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2020)

Intention of Risk-Taking Behavior at Unsignalized Intersections Under the Connected Vehicle Environment. - Qianshan Jiang; Helai Huang; Wenjing Zhao; Farrukh Baig; Jaeyoung Lee 001; Peng Li (IEEE Access, 2021)

Testing Scenarios Construction for Connected and Automated Vehicles Based on Dynamic Trajectory Clustering Method. - Rui Zhou; Ziqian Lin; Xiangzhi Huang; Jingfeng Peng; Helai Huang (ITSC, 2022)

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model. - Lening Wang; Yilong Ren; Han Jiang 003; Pinlong Cai; Daocheng Fu; Tianqi Wang; Zhiyong Cui; Haiyang Yu 002; Xuesong Wang 006; Hanchu Zhou; Helai Huang; Yinhai Wang (CoRR, 2023)

On region-level travel demand forecasting using multi-task adaptive graph attention network. - Jian Liang; Jinjun Tang; Fan Gao 003; Zhe Wang; Helai Huang (Inf. Sci., 2023)

AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention. - Lening Wang; Yilong Ren; Han Jiang 003; Pinlong Cai; Daocheng Fu; Tianqi Wang; Zhiyong Cui; Haiyang Yu 002; Xuesong Wang 006; Hanchu Zhou; Helai Huang; Yinhai Wang (IV, 2024)

A deep reinforcement learning-based approach for autonomous lane-changing velocity control in mixed flow of vehicle group level. - Zhe Wang; Helai Huang; Jinjun Tang; Lipeng Hu (Expert Syst. Appl., 2024)

Developing a new integrated advanced driver assistance system in a connected vehicle environment. - Wenjing Zhao; Siyuan Gong; Dezong Zhao; Fenglin Liu; N. N. Sze; Mohammed Quddus 001; Helai Huang (Expert Syst. Appl., 2024)

Optimal Deployment of Connected and Autonomous Vehicle Dedicated Lanes: A Trade-Off Between Safety and Efficiency. - Cheng Hu; Chunyang Han; Amjad Pervez; Jingjing Hao; Guangming Xu; Jinjun Tang; Helai Huang (IEEE Trans. Intell. Transp. Syst., 2024)

A Spatial-State-Based Omni-Directional Collision Warning System for Intelligent Vehicles. - Wenjing Zhao; Siyuan Gong; Dezong Zhao; Fenglin Liu; N. N. Sze; Mohammed A. Quddus 001; Helai Huang (IEEE Trans. Intell. Transp. Syst., 2024)

Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers. - Rui Zhou; Ziqian Lin; Guoqing Zhang; Helai Huang; Hanchu Zhou; Jiguang Chen (IEEE Trans. Intell. Transp. Syst., 2024)

Vehicle real-time collision risk prediction: A multi-modal learning approach for diverse urban road scenarios based on a large-scale near-crash event dataset. - Jipu Li; Yi He; Ye Li; Helai Huang; Dan Wu; Jieling Jin (Eng. Appl. Artif. Intell., 2025)

Generating intersection pre-crash trajectories for autonomous driving safety testing using Transformer Time-Series Generative Adversarial Networks. - Xichang Liu; Helai Huang; Jiang Bian; Rui Zhou; Zhiyuan Wei; Hanchu Zhou (Eng. Appl. Artif. Intell., 2025)

Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception. - Jieling Jin; Helai Huang; Ye Li; Yuxuan Dong; Gongquan Zhang; Jiguang Chen (Expert Syst. Appl., 2025)

DiffCrash: leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data. - Rui Zhou; Weihua Gui 001; Helai Huang; Xichang Liu; Zhiyuan Wei; Jiang Bian (Expert Syst. Appl., 2025)

TS-PVL: Two-Stage Deep-Reinforcement-Learning-Based Traffic Light With Pedestrian-Vehicle Control in Mixed-Autonomy Traffic. - Gongquan Zhang; Helai Huang; Fang-Rong Chang (IEEE Internet Things J., 2025)

A Hazardous Lane-Changing Scenario Search Approach Based on Adaptive Random Testing for Automated Vehicles. - Ye Li; Fanming Zeng; Jieling Jin; Helai Huang (IEEE Trans. Intell. Veh., 2025)

Interactive Critical Scenario Generation for Autonomous Vehicles Testing Based on In-Depth Crash Data Using Reinforcement Learning. - Zhiyuan Wei; Helai Huang; Guoqing Zhang; Rui Zhou; Xiaolong Luo; Shiqi Li; Hanchu Zhou (IEEE Trans. Intell. Veh., 2025)

A Connected-Automated Vehicles-Based Dynamic Speed Limit Control Strategy for Improving Safety and Efficiency of Freeway Tunnels: An Augmented Lagrange Safe Reinforcement Learning Framework. - Jieling Jin; Ye Li; Helai Huang; Jianjun Dai (IEEE Internet Things J., 2025)

High-Risk Trajectories Generation for Safety Testing of Autonomous Vehicles Based on In-Depth Crash Data. - Guoqing Zhang; Helai Huang; Rui Zhou; Shiqi Li; Jiang Bian (IEEE Trans. Intell. Transp. Syst., 2025)