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http://hdl.handle.net/10397/92558
Title: | Metaheuristic approach for designing robust traffic signal timings to effectively serve varying traffic demand | Authors: | Shirke, C Sabar, N Chung, E Bhaskar, A |
Issue Date: | 2022 | Source: | Journal of intelligent transportation systems : technology, planning, and operations, 2022, v. 26, no. 3, p. 343-355 | Abstract: | Traffic demands at intersections vary across various periods of a day and from day to day. Generally, fixed time traffic signals are designed considering the average traffic flows across multiple days over a predetermined time interval. This approach overlooks the day to day variability in traffic demand, leading to inefficient and unreliable signal control performance. A signal plan should be robust such that it is less sensitive to demand variations and can maintain near-optimal performance during varying traffic demand. To address this need, the paper presents a new offline scenario-based framework, named Metaheuristic Robust plan Approach (MHRA), that identifies a robust plan for fixed time signals. MHRA includes a heuristic that considers optimum signal plan for various demand scenarios and corresponding costs to find a robust solution. The numerical experiments are performed using realistic traffic demand scenarios on an arterial corridor to verify the MHRA framework. The outcomes concluded that the framework produces a robust signal plan that outperforms a nominal signal plan based on average traffic demand and maintains stable performance under varying demand. Benchmarking MHRA with other scenario-based approaches proposed in the literature such as mean-variance optimization and conditional value at risk minimization confirms better efficiency for MHRA. | Keywords: | Day to day variation Fixed time traffic signals Metaheuristic approach Robust traffic signal Varying traffic demand |
Publisher: | Taylor & Francis | Journal: | Journal of intelligent transportation systems : technology, planning, and operations | ISSN: | 1547-2450 | EISSN: | 1547-2442 | DOI: | 10.1080/15472450.2021.1878892 | Rights: | © 2021 Taylor & Francis Group, LLC This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Intelligent Transportation Systems: Technology, Planning, and Operations on 3 Feb 2021 (Published online), available online: http://www.tandfonline.com/10.1080/15472450.2021.1878892 |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Shirke_Metaheuristic_Robust_Traffic.pdf | Pre-Published version | 1.3 MB | Adobe PDF | View/Open |
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