paper-with-me

홈 › Papers

Urban Priority Pass: Fair Signalized Intersection Management Accounting For Passenger Needs Through Prioritization

2025-01-22 · Kevin Riehl, Anastasios Kouvelas, Michail Makridis

Over the past few decades, efforts of road traffic management and practice have predominantly focused on maximizing system efficiency and mitigating congestion from a system perspective. This efficiency-driven approach implies the equal treatment of all vehicles, which often overlooks individual user experiences, broader social impacts, and the fact that users are heterogeneous in their urgency and experience different costs when being delayed. Existing strategies to account for the differences in needs of users in traffic management cover dedicated transit lanes, prioritization of emergency vehicles, transit signal prioritization, and economic instruments. Even though they are the major bottleneck for traffic in cities, no dedicated instrument that enables prioritization of individual drivers at intersections. The Priority Pass is a reservation-based, economic controller that expedites entitled vehicles at signalized intersections, without causing arbitrary delays for not-entitled vehicles and without affecting transportation efficiency de trop. The prioritization of vulnerable road users, emergency vehicles, commercial taxi and delivery drivers, or urgent individuals can enhance road safety, and achieve social, environmental, and economic goals. A case study in Manhattan demonstrates the feasibility of individual prioritization (up to 40\% delay decrease), and quantifies the potential of the Priority Pass to gain social welfare benefits for the people. A market for prioritization could generate up to 1 million \$ in daily revenues for Manhattan, and equitably allocate delay reductions to those in need, rather than those with a high income.

📄 PDF Abstract BibTeX arXiv:2501.12769

Code (0)

등록된 구현이 없습니다.

Tasks

Management

Similar Papers 제목 키워드 기반

A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections

2023-09-12 · Jiping Luo, Tingting Zhang, Qinyu Zhang

In this paper, we investigate cooperative vehicle coordination for connected and automated vehicles (CAVs) at unsignalized intersections. To support high traffic throughput while reducing computational complexity, we pre…

SchedulingTraffic Signal ControlTrajectory Planning

Unsignalized Intersection Management Strategy for Mixed Autonomy Traffic Streams

2022-04-07 · Junjie Zhou, Zhaokun Shen, Xiaofan Wang, Lin Wang

With the rapid development of connected and automated vehicles (CAVs) and intelligent transportation infrastructure, CAVs, connected human-driven vehicles (CHVs), and un-connected human-driven vehicles (HVs) will coexist…

Decision MakingManagement

Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection

2022-06-24 · Vinith Kumar Lakshmanan, Antonio Sciarretta, Ouafae El Ganaoui-Mourlan

This paper addresses the problem of finding the optimal Eco-Driving (ED) speed profile of an electric Connected and Automated Vehicle (CAV) in an isolated urban un-signalized intersection. The problem is formulated as a …

Autonomous Vehicles

Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network

2021-05-01 · Kasra Mokhtari, Alan R. Wagner

Prior research has extensively explored Autonomous Vehicle (AV) navigation in the presence of other vehicles, however, navigation among pedestrians, who are the most vulnerable element in urban environments, has been les…

Autonomous VehiclesCollision AvoidanceDeep Reinforcement Learning

Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning

2020-08-14 · Feng Wang, Dongjie Shi, Teng Liu, Xiaolin Tang

Decision-making module enables autonomous vehicles to reach appropriate maneuvers in the complex urban environments, especially the intersection situations. This work proposes a deep reinforcement learning (DRL) based le…

Autonomous VehiclesDecision MakingDeep Reinforcement LearningQ-Learning+2