Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation

Conflicts between pedestrians and vehicles are one of the common safety issues at signalized intersections. Pedestrian Flashing GREEN (FG), a time interval for pedestrians on crosswalks to safely finish crossing before the next phase occurs, may fail to clear the crosswalk in the allotted time, due...

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Main Authors: Zhang, Yi, Zhang, Yicheng, Su, Rong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/160353
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1603532022-07-19T08:50:46Z Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation Zhang, Yi Zhang, Yicheng Su, Rong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Urban Traffic Light Control Pedestrian Violation Conflicts between pedestrians and vehicles are one of the common safety issues at signalized intersections. Pedestrian Flashing GREEN (FG), a time interval for pedestrians on crosswalks to safely finish crossing before the next phase occurs, may fail to clear the crosswalk in the allotted time, due to significant pedestrian non-compliant behavior. In this manner, probability of pedestrian-vehicle exposures increases when non-compatible vehicle flows are released at the next immediate phase. This paper seeks to address this issue by presenting a traffic signal control strategy for urban traffic networks that aims to minimize vehicle traveling delay (increase efficiency) as well as pedestrian crossing risk (increase safety). First, a macroscopic model for pedestrian-vehicle mixed-flow networks is proposed. Considering the high-incidence rate of pedestrian violations during FG, an additional Dynamic All RED (DAR) phase is introduced at the end of each FG period, whose duration is adaptively adjusted according to the number of non-compliant pedestrians. With computational complexity being a concern for our model, an evolutionary algorithm with repairing mechanism (EARM), is proposed to solve our problem. Case studies are provided to illustrate the potential impact of the pedestrian movement to the vehicle traffic networks when pedestrian safety is considered in the system, as well as the efficacy of our traffic light control strategy for pedestrians and vehicles on risk reduction. Agency for Science, Technology and Research (A*STAR) This work was supported by the Agency for Science, Technology and Research (A*STAR) through its RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund-Pre Positing (IAF-PP) under Award A19D6a0053. 2022-07-19T08:50:46Z 2022-07-19T08:50:46Z 2019 Journal Article Zhang, Y., Zhang, Y. & Su, R. (2019). Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation. IEEE Transactions On Intelligent Transportation Systems, 22(1), 178-193. https://dx.doi.org/10.1109/TITS.2019.2955752 1524-9050 https://hdl.handle.net/10356/160353 10.1109/TITS.2019.2955752 2-s2.0-85098584694 1 22 178 193 en A19D6a0053 IEEE Transactions on Intelligent Transportation Systems © 2019 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Urban Traffic Light Control
Pedestrian Violation
spellingShingle Engineering::Electrical and electronic engineering
Urban Traffic Light Control
Pedestrian Violation
Zhang, Yi
Zhang, Yicheng
Su, Rong
Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation
description Conflicts between pedestrians and vehicles are one of the common safety issues at signalized intersections. Pedestrian Flashing GREEN (FG), a time interval for pedestrians on crosswalks to safely finish crossing before the next phase occurs, may fail to clear the crosswalk in the allotted time, due to significant pedestrian non-compliant behavior. In this manner, probability of pedestrian-vehicle exposures increases when non-compatible vehicle flows are released at the next immediate phase. This paper seeks to address this issue by presenting a traffic signal control strategy for urban traffic networks that aims to minimize vehicle traveling delay (increase efficiency) as well as pedestrian crossing risk (increase safety). First, a macroscopic model for pedestrian-vehicle mixed-flow networks is proposed. Considering the high-incidence rate of pedestrian violations during FG, an additional Dynamic All RED (DAR) phase is introduced at the end of each FG period, whose duration is adaptively adjusted according to the number of non-compliant pedestrians. With computational complexity being a concern for our model, an evolutionary algorithm with repairing mechanism (EARM), is proposed to solve our problem. Case studies are provided to illustrate the potential impact of the pedestrian movement to the vehicle traffic networks when pedestrian safety is considered in the system, as well as the efficacy of our traffic light control strategy for pedestrians and vehicles on risk reduction.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhang, Yi
Zhang, Yicheng
Su, Rong
format Article
author Zhang, Yi
Zhang, Yicheng
Su, Rong
author_sort Zhang, Yi
title Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation
title_short Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation
title_full Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation
title_fullStr Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation
title_full_unstemmed Pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation
title_sort pedestrian-safety-aware traffic light control strategy for urban traffic congestion alleviation
publishDate 2022
url https://hdl.handle.net/10356/160353
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