8 citations · 15 across the 5 of their papers we have counts for
5 papers · 1 filter
Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment
Chaopeng Tan, Kaidi Yang
Although Connected Vehicles (CVs) have demonstrated tremendous potential to enhance traffic operations, they can impose privacy risks on individual travelers, e.g., leaking sensiti…
Differentially Private Stochastic Convex Optimization for Network Routing Applications
Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang +1
Network routing problems are common across many engineering applications. Computing optimal routing policies requires knowledge about network demand, i.e., the origin and destinati…
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand
Daniele Gammelli, Kaidi Yang, James Harrison +3
Autonomous Mobility-on-Demand (AMoD) systems represent an attractive alternative to existing transportation paradigms, currently challenged by urbanization and increasing travel ne…
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
Daniele Gammelli, Kaidi Yang, James Harrison +3
Autonomous mobility-on-demand (AMoD) systems represent a rapidly developing mode of transportation wherein travel requests are dynamically handled by a coordinated fleet of robotic…
Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems
Kaidi Yang, Matthew W. Tsao, Xin Xu +1
Automated vehicles (AVs) are expected to be beneficial for Mobility-on-Demand (MoD), thanks to their ability of being globally coordinated. To facilitate the steady transition towa…