469 citations · 644 across the 15 of their papers we have counts for
4 papers · 1 filter
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning
Xu Han, Xianda Chen, Meixin Zhu +3
Car-following models have made significant contributions to our understanding of longitudinal driving behavior. However, they often exhibit limited accuracy and flexibility, as the…
Catch Planner: Catching High-Speed Targets in the Flight
Huan Yu, Pengqin Wang, Jin Wang +8
Catching high-speed targets in the flight is a complex and typical highly dynamic task. In this paper, we propose Catch Planner, a planning-with-decision scheme for catching. For s…
Edge Computing for Real-Time Near-Crash Detection for Smart Transportation Applications
Ruimin Ke, Zhiyong Cui, Yanlong Chen +3
Traffic near-crash events serve as critical data sources for various smart transportation applications, such as being surrogate safety measures for traffic safety research and corn…
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
Meixin Zhu, Xuesong Wang, Andrew P. Tarko +1
Five car-following models were calibrated, validated and cross-compared. The intelligent driver model performed best among the evaluated models. Considerable behavioral differences…