10 papers
Multi-Objective Reinforcement Learning for Large-Scale Mixed Traffic Control
Iftekharul Islam, Weizi Li
Effective mixed traffic control requires balancing efficiency, fairness, and safety. Existing approaches excel at optimizing efficiency and enforcing safety constraints but lack me…
Origin-Destination Pattern Effects on Large-Scale Mixed Traffic Control via Multi-Agent Reinforcement Learning
Muyang Fan, Songyang Liu, Shuai Li +1
Traffic congestion remains a major challenge for modern urban transportation, diminishing both efficiency and quality of life. While autonomous driving technologies and reinforceme…
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
Bibek Poudel, Xuan Wang, Weizi Li +2
Reinforcement learning (RL) holds significant promise for adaptive traffic signal control. While existing RL-based methods demonstrate effectiveness in reducing vehicular congestio…
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
Songyang Liu, Muyang Fan, Weizi Li +2
Traffic congestion remains a significant challenge in modern urban networks. Autonomous driving technologies have emerged as a potential solution. Among traffic control methods, re…
Analyzing Fundamental Diagrams of Mixed Traffic Control at Unsignalized Intersections
Iftekharul Islam, Weizi Li
This report examines the effect of mixed traffic, specifically the variation in robot vehicle (RV) penetration rates, on the fundamental diagrams at unsignalized intersections. Thr…
Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks
Iftekharul Islam, Weizi Li
Managing mixed traffic comprising human-driven and robot vehicles (RVs) across large-scale networks presents unique challenges beyond single-intersection control. This paper propos…
Beacon: A Naturalistic Driving Dataset During Blackouts for Benchmarking Traffic Reconstruction and Control
Supriya Sarker, Iftekharul Islam, Bibek Poudel +1
Extreme weather and infrastructure vulnerabilities pose significant challenges to urban mobility, particularly at intersections where signals become inoperative. To address this gr…
A Comprehensive Review on Traffic Datasets and Simulators for Autonomous Vehicles
Supriya Sarker, Brent Maples, Iftekharul Islam +3
Autonomous driving has rapidly evolved through synergistic developments in hardware and artificial intelligence. This comprehensive review investigates traffic datasets and simulat…
Heterogeneous Mixed Traffic Control and Coordination
Iftekharul Islam, Weizi Li, Xuan Wang +2
Urban intersections with diverse vehicle types, from small cars to large semi-trailers, pose significant challenges for traffic control. This study explores how robot vehicles (RVs…
TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields
Songyang Liu, Shuai Li, Haochen Li +2
Electric vertical-takeoff and landing (eVTOL) aircraft, recognized for their maneuverability and flexibility, offer a promising alternative to our transportation system. However, t…