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Adaptive Person Based Signal Control System in Isolated Connected Vehicle Junction

Wu, Z; Waterson, B; Anvari, B; (2020) Adaptive Person Based Signal Control System in Isolated Connected Vehicle Junction. In: Proceedings of the 2020 Transport Research Board. The Transportation Research Board (TRB): Washington, D.C. (In press). Green open access

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Abstract

Urban person delay and congestion have becoming an increasing important issues. Connected vehicle (CV) technologies offer opportunities for managing urban traffic efficiently to reduce vehicle delays. The adaptive signal controls in CV environments are vehicle based controls, ignoring the importance of reducing person delay and improving person mobility in urban areas. This paper proposes an innovative Adaptive Person Based Signal Control Algorithm (APBSCA) to minimize person delay at isolated urbans. APBSCA is able to explore flexible phase combinations and stage sequences to find optimal signal timing solutions in certain prediction horizon. The vehicle in formation including positions, speeds and occupancy levels are collected through CV technology as data sources. A three-level dynamic programming approach is adopted in APBSCA to update the predictive departure time of every vehicle surrounding junctions, which is affected by network environments and signal decisions. APBSCA figures out optimal signal timing parameters that yield highest person delay saving values indicators at isolated junction over the prediction period and implement the corresponding signal timings. The results indicate that APBSCA have better results in reducing average person delay in vehicle in terms of high occupancy vehicles. APBSCA offers significantly average person delay reduction up to 55%. The proposed APBSCA indicates that person based controls have potential benefits in reducing person delay to consistent the future urban goals of improving person

Type: Proceedings paper
Title: Adaptive Person Based Signal Control System in Isolated Connected Vehicle Junction
Event: 2020 Transport Research Board (TRB)
Location: Wahsington, USA
Dates: 12 January 2020 - 16 January 2020
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.trb.org/AnnualMeeting/AnnualMeeting.asp...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10084366
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