4 papers
Dynamic Risk Assessment for Autonomous Vehicles from Spatio-Temporal Probabilistic Occupancy Heatmaps
Han Wang, Yuneil Yeo, Antonio R. Paiva +2
Accurately assessing collision risk in dynamic traffic scenarios is a crucial requirement for trajectory planning in autonomous vehicles~(AVs) and enables a comprehensive safety ev…
Strategizing Equitable Transit Evacuations: A Data-Driven Reinforcement Learning Approach
Fang Tang, Han Wang, Maria Laura Delle Monache
As natural disasters become increasingly frequent, the need for efficient and equitable evacuation planning has become more critical. This paper proposes a data-driven, reinforceme…
Highway Congestion Reduction through Reinforcement Learning Based Eulerian Headway Control
Yaron Veksler, Sharon Hornstein, Han Wang +2
Connected automated vehicles (CAVs) equipped with adaptive cruise control (ACC) create new opportunities for highway congestion mitigation. Traditional practice relies on Eulerian…
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
Raphael Chekroun, Han Wang, Jonathan Lee +4
Accurate real-time traffic state forecasting plays a pivotal role in traffic control research. In particular, the CIRCLES consortium project necessitates predictive techniques to m…