1 citations · 1 across the 4 of their papers we have counts for
4 papers
Integrated Take-off Management and Trajectory Optimization for Merging Control in Urban Air Mobility Corridors
Yingqi Liu, Tianlu Pan, Jingjun Tan +2
Urban Air Mobility (UAM) has the potential to revolutionize daily transportation, offering rapid and efficient aerial mobility services. Take-off and merging phases are critical fo…
Learning-Based Tracking Perimeter Control for Two-region Macroscopic Traffic Dynamics
Can Chen, Yunping Huang, Hongwei Zhang +4
Leveraging the concept of the macroscopic fundamental diagram (MFD), perimeter control can alleviate network-level congestion by identifying critical intersections and regulating t…
Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance
Canqiang Weng, Can Chen, Jingjun Tan +2
Given the spatial heterogeneity of land use patterns in most cities, large-scale UAM deployments will likely focus on specific areas, such as intertransfer traffic between suburbs…
Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics
C. Chen, Y. P. Huang, W. H. K. Lam +4
Existing data-driven and feedback traffic control strategies do not consider the heterogeneity of real-time data measurements. Besides, traditional reinforcement learning (RL) meth…