Developing and evaluating a coordinated person-based signal control paradigm in a corridor network
Developing and evaluating a coordinated person-based signal control paradigm in a corridor network
Connected Vehicles (CVs) provide both vehicle trajectory data and occupancy information to the junction controller, which make person-based signal controls to be possible by realizing the importance of reducing person delay. This study presents a coordinated person-based signal control algorithm (C-PBC), which has extended a previously developed approach from isolated junctions to multiple junctions. C-PBC incorporates vehicle information that is outside the CV communication range from the adjacent junction. It also updates data inputs for signal optimization algorithms based on formulated different arrival vehicle trajectory situations and coordinated data supplement algorithms. The developed algorithm has been evaluated using simulation with benchmarking signal control methods under a variety of scenarios involving CV penetration rates and predictive horizons. The results indicate that C-PBC is able to significantly improve person delay reduction when compared with fixed time control and vehicle-based control using CV data in 100% CV penetration rate under saturated flow conditions.
C-PBC, Traffic signal control, connected vehicle, coordinated control, person-based control
498-523
Wu, Zongyuan
f1cb0318-5bf0-465d-8454-65d63495491f
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
18 October 2022
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
(2022)
Developing and evaluating a coordinated person-based signal control paradigm in a corridor network.
Transportation Planning and Technology, 45 (6), .
(doi:10.1080/03081060.2022.2134128).
Abstract
Connected Vehicles (CVs) provide both vehicle trajectory data and occupancy information to the junction controller, which make person-based signal controls to be possible by realizing the importance of reducing person delay. This study presents a coordinated person-based signal control algorithm (C-PBC), which has extended a previously developed approach from isolated junctions to multiple junctions. C-PBC incorporates vehicle information that is outside the CV communication range from the adjacent junction. It also updates data inputs for signal optimization algorithms based on formulated different arrival vehicle trajectory situations and coordinated data supplement algorithms. The developed algorithm has been evaluated using simulation with benchmarking signal control methods under a variety of scenarios involving CV penetration rates and predictive horizons. The results indicate that C-PBC is able to significantly improve person delay reduction when compared with fixed time control and vehicle-based control using CV data in 100% CV penetration rate under saturated flow conditions.
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Evaluating_coordinated_person_based_signal_control _paradigm
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Accepted/In Press date: 3 October 2022
Published date: 18 October 2022
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Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
Keywords:
C-PBC, Traffic signal control, connected vehicle, coordinated control, person-based control
Identifiers
Local EPrints ID: 478611
URI: http://eprints.soton.ac.uk/id/eprint/478611
ISSN: 1029-0354
PURE UUID: 01e33a94-72fc-46d0-a3e4-1174a2745fe9
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Date deposited: 05 Jul 2023 17:33
Last modified: 17 Mar 2024 02:46
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Author:
Zongyuan Wu
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