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Title: A Cost-effective Approach to Signal Re-timing through Leveraging Controller Operational Data
Accession Number: 01764369
Record Type: Component
Abstract: Signal re-timing has been noted as an important means to improve urban arterial operations. However, most agencies in the U.S. have difficulties in keeping their signal timings up to date due to tight resourcing and staffing. One of the challenges the agencies have faced lies in data collection processes during signal timing that are often costly and laborious. This research aims to provide an alternative method to re-time traffic signals with reduced costs, which is based on leveraging data of controller operations. Abundant operational data logged in the field controllers include information such as historical cycle and phase split times, phase termination logging, and frequency of pedestrian request received, which can be conveniently obtained. Jointly using the controller operational data and a signal timing optimization software, the cycle length, phase splits, offsets, and phase sequences can be properly designed without traffic volume data. Experimental investigations based on hardware-in-the-loop simulation were conducted, which demonstrate that the proposed approach is feasible. In addition, the case study was performed regarding a real-world signal re-timing project in Reno, Nevada. Timing plans designed through the proposed approach and the conventional approach were evaluated, and the results showed that the proposed approach could deliver the similar or even better performance compared to the conventional signal re-timing approaches while a considerable saving in data collection costs could be achieved.
Supplemental Notes: This paper was sponsored by TRB committee ACP25 Standing Committee on Traffic Signal Systems.
Report/Paper Numbers: TRBAM-21-04004
Language: English
Corporate Authors: Transportation Research BoardAuthors: Wang, AoboTian, ZongPagination: 16p
Publication Date: 2021
Conference:
Transportation Research Board 100th Annual Meeting
Location:
Washington DC, United States Media Type: Web
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-04004
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:27AM
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