Evaluation and Selection of Adaptive Traffic Control Strategies on Transportation Networks

Author:

Mudigonda Sandeep1,Ozbay Kaan1,Doshi Harsh1

Affiliation:

1. Department of Civil and Environmental Engineering, Rutgers University, 623 Bowser Road, Piscataway, NJ 08854.

Abstract

With numerous adaptive signal strategies to choose from and the ever-increasing cost of deploying new technologies, transportation professionals need to carefully determine the optimal locations of specific adaptive signal control strategies to maximize their benefits. An interoperable decision support system that not only recommends the best network location for deployment but also provides a seamless data exchange between various data sources will be extremely helpful. The development of a prototype geographic information system– (GIS-) based decision support system (DSS) to address some of these issues is presented. A novel software bridge is implemented to ensure data exchange between the most widely used traffic signal optimization and analysis software, Synchro and the developed GIS-based prototype, the Rutgers Adaptive Signal Control Selection (RASCS) DSS. Integrated modules of this unique GIS-based DSS tool—a macroscopic simulator, a rule-based expert system built up by using various sources, and a benefit–cost analysis module—are then described in detail. Case studies that make use of the developed tool also are presented.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Traffic Signal Systems Solutions Toolbox: A Case Study from Pennsylvania;Transportation Research Record: Journal of the Transportation Research Board;2024-02-26

2. Performance Evaluation of Reinforcement Learning-Based Adaptive Signal Control Deployment in Urban Network;IFAC-PapersOnLine;2024

3. Data-Driven Decision Support Platform for Selection of Intersections for Adaptive Traffic Signal Control;Transportation Research Record: Journal of the Transportation Research Board;2023-04-13

4. Development of Assessment Tool and Overview of Adaptive Traffic Control Deployments in the U.S;Transportation Research Record: Journal of the Transportation Research Board;2020-10-16

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