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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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814019825908 |
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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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