Publications (16)
A Game Theoretic Macroscopic Model of Bypassing at Traffic Diverges with Applications to Mixed Autonomy Networks
Negar Mehr, Ruolin Li, Roberto Horowitz
Vehicle bypassing is known to negatively affect delays at traffic diverges. However, due to the complexities of this phenomenon, accurate and yet simple models of such lane change…
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
Shuo Yu, Yingbo Wang, Ruolin Li +7
Graphs are data structures used to represent irregular networks and are prevalent in numerous real-world applications. Previous methods directly model graph structures and achieve…
Employing Altruistic Vehicles at On-ramps to Improve the Social Traffic Conditions
Ruolin Li, Philip N. Brown, Roberto Horowitz
Highway on-ramps are regarded as typical bottlenecks in transportation networks. In previous work, mainline vehicles' selfish lane choice behavior at on-ramps is studied and regard…
Traffic Equilibrium in Mixed-Autonomy Network with Capped Customer Waiting
Jiaxin Hou, Kexin Wang, Ruolin Li +1
This paper develops a unified modeling framework to capture the equilibrium-state interactions among ride-hailing companies, travelers, and traffic of mixed-autonomy transportation…
Realistic Extreme Behavior Generation for Improved AV Testing
Robert Dyro, Matthew Foutter, Ruolin Li +4
This work introduces a framework to diagnose the strengths and shortcomings of Autonomous Vehicle (AV) collision avoidance technology with synthetic yet realistic potential collisi…
A Highway Toll Lane Framework that Unites Autonomous Vehicles and High-occupancy Vehicles
Ruolin Li, Philip N. Brown, Roberto Horowitz
We consider the scenario where human-driven/autonomous vehicles with low/high occupancy are sharing a segment of highway and autonomous vehicles are capable of increasing the traff…