13 citations · 21 across the 13 of their papers we have counts for
14 papers
SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling
Junwei You, Pei Li, Zhuoyu Jiang +4
Autonomous driving technologies face significant safety challenges while operating under rare, diverse, and visually degraded weather scenarios. These challenges become more critic…
Goal-based Neural Physics Vehicle Trajectory Prediction Model
Rui Gan, Haotian Shi, Pei Li +6
Vehicle trajectory prediction plays a vital role in intelligent transportation systems and autonomous driving, as it significantly affects vehicle behavior planning and control, th…
Analytical Optimized Traffic Flow Recovery for Large-scale Urban Transportation Network
Sicheng Fu, Haotian Shi, Shixiao Liang +2
The implementation of intelligent transportation systems (ITS) has enhanced data collection in urban transportation through advanced traffic sensing devices. However, the high cost…
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
Keshu Wu, Yang Zhou, Haotian Shi +3
The intricate nature of real-world driving environments, characterized by dynamic and diverse interactions among multiple vehicles and their possible future states, presents consid…
Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach
Kexin Tian, Haotian Shi, Yang Zhou +1
Given the complexity and nonlinearity inherent in traffic dynamics within vehicular platoons, there exists a critical need for a modeling methodology with high accuracy while concu…
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction
Junwei You, Haotian Shi, Keshu Wu +4
Vehicle trajectory prediction is crucial for advancing autonomous driving and advanced driver assistance systems (ADAS), enhancing road safety and traffic efficiency. While traditi…
The expressway network design problem for multiple urban subregions based on the macroscopic fundamental diagram
Yunran Di, Weihua Zhang, Haotian Shi +3
As urbanization advances, cities are expanding, leading to a more decentralized urban structure and longer average commuting durations. The construction of an urban expressway syst…
Cooperative Route Guidance and Flow Control for Mixed Road Networks Comprising Expressway and Arterial Network
Yunran Di, Haotian Shi, Weihua Zhang +3
Facing the congestion challenges of mixed road networks comprising expressways and arterial road networks, traditional control solutions fall short. To effectively alleviate traffi…
Optimizing Bus Travel: A Novel Approach to Feature Mining with P-KMEANS and P-LDA Algorithms
Hongjie Liu, Haotian Shi, Sicheng Fu +4
Customizing services for bus travel can bolster its attractiveness, optimize usage, alleviate traffic congestion, and diminish carbon emissions. This potential is realized by harne…
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks
Keshu Wu, Yang Zhou, Haotian Shi +2
Predicting vehicle trajectories is crucial for ensuring automated vehicle operation efficiency and safety, particularly on congested multi-lane highways. In such dynamic environmen…
A Robust Integrated Multi-Strategy Bus Control System via Deep Reinforcement Learning
Qinghui Nie, Jishun Ou, Haiyang Zhang +3
An efficient urban bus control system has the potential to significantly reduce travel delays and streamline the allocation of transportation resources, thereby offering enhanced a…
Developing a Conceptual Tribal Crash Safety Dashboard: Data-Driven Strategies for Identifying High-Risk Areas and Enhancing Tribal Safety Programs
Tianyi Chen, Haotian Shi, Steven T. Parker +3
Tribal lands in the United States have consistently exhibited higher crash rates and injury severities compared to other regions. To address this issue, effective data-driven safet…
A Driving Risk Surrogate and Its Application in Car-Following Scenario at Expressway
Renfei Wu, Linheng Li, Haotian Shi +3
Traffic safety is important in reducing death and building a harmonious society. In addition to studies of accident incidences, the perception of driving risk is significant in gui…
Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach
Haotian Shi, Yang Zhou, Keshu Wu +3
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep r…