96 citations · 170 across the 10 of their papers we have counts for
10 papers
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli, James Harrison, Kaidi Yang +3
Optimization problems over dynamic networks have been extensively studied and widely used in the past decades to formulate numerous real-world problems. However, (1) traditional op…
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…
Time-to-Green predictions for fully-actuated signal control systems with supervised learning
Alexander Genser, Michail A. Makridis, Kaidi Yang +3
Recently, efforts have been made to standardize signal phase and timing (SPaT) messages. These messages contain signal phase timings of all signalized intersection approaches. This…
Private Location Sharing for Decentralized Routing services
Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan +1
Data-driven methodologies offer many exciting upsides, but they also introduce new challenges, particularly in the realm of user privacy. Specifically, the way data is collected ca…
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…
Trust but Verify: Cryptographic Data Privacy for Mobility Management
Matthew Tsao, Kaidi Yang, Stephen Zoepf +1
The era of Big Data has brought with it a richer understanding of user behavior through massive data sets, which can help organizations optimize the quality of their services. In t…
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…
Multi-scale Perimeter Control Approach in a Connected-Vehicle Environment
Kaidi Yang, Nan Zheng, Monica Menendez
This paper proposes a novel approach to integrate optimal control of perimeter intersections (i.e. to minimize local delay) into the perimeter control scheme (i.e. to optimize traf…