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Adaptive person based signal control system in isolated connected vehicle junction

Adaptive person based signal control system in isolated connected vehicle junction
Adaptive person based signal control system in isolated connected vehicle junction
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 information 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 mobility over vehicle based controls by better utilizing CV data incorporating occupancy levels.
connected vehicles, adaptive signal controls, dynamic programming approach
Wu, Zongyuan
f1cb0318-5bf0-465d-8454-65d63495491f
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Wu, Zongyuan
f1cb0318-5bf0-465d-8454-65d63495491f
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072

Wu, Zongyuan, Waterson, Ben and Anvari, Bani (2020) Adaptive person based signal control system in isolated connected vehicle junction. In Transportation Research Board 99th Annual Meeting: Washington Convention Center, United States, 2020-01-12 - 2020-01-16. 22 pp .

Record type: Conference or Workshop Item (Paper)

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 information 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 mobility over vehicle based controls by better utilizing CV data incorporating occupancy levels.

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Wu_et_al_Adaptive_Person_Control_TRB_2020 - Accepted Manuscript
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More information

Accepted/In Press date: 25 October 2019
Published date: 12 January 2020
Keywords: connected vehicles, adaptive signal controls, dynamic programming approach

Identifiers

Local EPrints ID: 444188
URI: http://eprints.soton.ac.uk/id/eprint/444188
PURE UUID: 9e13355c-2872-4e69-aa6c-c7b21f76f0da
ORCID for Ben Waterson: ORCID iD orcid.org/0000-0001-9817-7119
ORCID for Bani Anvari: ORCID iD orcid.org/0000-0001-7916-7636

Catalogue record

Date deposited: 30 Sep 2020 17:04
Last modified: 18 Feb 2021 17:30

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Contributors

Author: Zongyuan Wu
Author: Ben Waterson ORCID iD
Author: Bani Anvari ORCID iD

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