13 citations · 21 across the 13 of their papers we have counts for
4 papers · 1 filter
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…