A real-time signal control strategy at an isolated pedestrian crossing based on radar data

Fixed-time traffic signal control strategy in an isolated pedestrian crossing tends to reduce traffic capacity and expose vulnerable road users to more danger. To mitigate the negative impact of previous control strategy, this study proposed an optimal real-time signal timing strategy to protect ped...

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Main Authors: Xu Qu, Tangyi Guo, Jin Guo, Yi Lin, Bin Ran
Format: Article
Language:English
Published: SAGE Publishing 2019-03-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814019825908
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spelling doaj-62698bb002d74db0add416d845e8bf902020-11-25T02:48:07ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-03-011110.1177/1687814019825908A real-time signal control strategy at an isolated pedestrian crossing based on radar dataXu Qu0Tangyi Guo1Jin Guo2Yi Lin3Bin Ran4School of Transportation, Southeast University, Nanjing, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Transportation, Southeast University, Nanjing, ChinaDepartment of Civil & Environmental Engineering, University of Wisconsin–Madison, Madison, WI, USAFixed-time traffic signal control strategy in an isolated pedestrian crossing tends to reduce traffic capacity and expose vulnerable road users to more danger. To mitigate the negative impact of previous control strategy, this study proposed an optimal real-time signal timing strategy to protect pedestrian crossing and at the same time minimize the system-wide traffic delay. With the application of a wide-area radar data, the features of vehicles, pedestrians, and the passing time of non-motor vehicles and pedestrian were captured considering conflicts and traffic delay. The support vector machine for regression was utilized to hypothesize traffic delay by training. The discrete values of hypothetical passing time will be tested. The minimum value of delay can be recognized and the corresponding hypothetical passing time will be recommended as the green time for crossing. The performance of the proposed ORSTS outperformed the fixed-time traffic signal control strategy in reducing traffic delay by 22.3%.https://doi.org/10.1177/1687814019825908
collection DOAJ
language English
format Article
sources DOAJ
author Xu Qu
Tangyi Guo
Jin Guo
Yi Lin
Bin Ran
spellingShingle Xu Qu
Tangyi Guo
Jin Guo
Yi Lin
Bin Ran
A real-time signal control strategy at an isolated pedestrian crossing based on radar data
Advances in Mechanical Engineering
author_facet Xu Qu
Tangyi Guo
Jin Guo
Yi Lin
Bin Ran
author_sort Xu Qu
title A real-time signal control strategy at an isolated pedestrian crossing based on radar data
title_short A real-time signal control strategy at an isolated pedestrian crossing based on radar data
title_full A real-time signal control strategy at an isolated pedestrian crossing based on radar data
title_fullStr A real-time signal control strategy at an isolated pedestrian crossing based on radar data
title_full_unstemmed A real-time signal control strategy at an isolated pedestrian crossing based on radar data
title_sort real-time signal control strategy at an isolated pedestrian crossing based on radar data
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2019-03-01
description Fixed-time traffic signal control strategy in an isolated pedestrian crossing tends to reduce traffic capacity and expose vulnerable road users to more danger. To mitigate the negative impact of previous control strategy, this study proposed an optimal real-time signal timing strategy to protect pedestrian crossing and at the same time minimize the system-wide traffic delay. With the application of a wide-area radar data, the features of vehicles, pedestrians, and the passing time of non-motor vehicles and pedestrian were captured considering conflicts and traffic delay. The support vector machine for regression was utilized to hypothesize traffic delay by training. The discrete values of hypothetical passing time will be tested. The minimum value of delay can be recognized and the corresponding hypothetical passing time will be recommended as the green time for crossing. The performance of the proposed ORSTS outperformed the fixed-time traffic signal control strategy in reducing traffic delay by 22.3%.
url https://doi.org/10.1177/1687814019825908
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