Real-time traffic signal optimization model based on average delay time per person
Real-time traffic signal control is very important for relieving urban traffic congestion. Many existing traffic control models were formulated using optimization approach, with the objective functions of minimizing vehicle delay time. To improve people’s trip efficiency, this article aims to minimi...
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814015613500 |
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doaj-a43886723b9944889e8da3b231631e492020-11-25T04:02:41ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402015-10-01710.1177/168781401561350010.1177_1687814015613500Real-time traffic signal optimization model based on average delay time per personPengpeng Jiao0Zhihong Li1Meiqi Liu2Dongyue Li3Yangwei Li4Beijing Urban Transportation Infrastructure Engineering Technology Research Center, Beijing University of Civil Engineering and Architecture, Beijing, ChinaBeijing Urban Transportation Infrastructure Engineering Technology Research Center, Beijing University of Civil Engineering and Architecture, Beijing, ChinaBeijing Urban Transportation Infrastructure Engineering Technology Research Center, Beijing University of Civil Engineering and Architecture, Beijing, ChinaBeijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Civil Engineering and Architecture, Beijing, ChinaBeijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Civil Engineering and Architecture, Beijing, ChinaReal-time traffic signal control is very important for relieving urban traffic congestion. Many existing traffic control models were formulated using optimization approach, with the objective functions of minimizing vehicle delay time. To improve people’s trip efficiency, this article aims to minimize delay time per person. Based on the time-varying traffic flow data at intersections, the article first fits curves of accumulative arrival and departure vehicles, as well as the corresponding functions. Moreover, this article transfers vehicle delay time to personal delay time using average passenger load of cars and buses, employs such time as the objective function, and proposes a signal timing optimization model for intersections to achieve real-time signal parameters, including cycle length and green time. This research further implements a case study based on practical data collected at an intersection in Beijing, China. The average delay time per person and queue length are employed as evaluation indices to show the performances of the model. The results show that the proposed methodology is capable of improving traffic efficiency and is very effective for real-world applications.https://doi.org/10.1177/1687814015613500 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pengpeng Jiao Zhihong Li Meiqi Liu Dongyue Li Yangwei Li |
spellingShingle |
Pengpeng Jiao Zhihong Li Meiqi Liu Dongyue Li Yangwei Li Real-time traffic signal optimization model based on average delay time per person Advances in Mechanical Engineering |
author_facet |
Pengpeng Jiao Zhihong Li Meiqi Liu Dongyue Li Yangwei Li |
author_sort |
Pengpeng Jiao |
title |
Real-time traffic signal optimization model based on average delay time per person |
title_short |
Real-time traffic signal optimization model based on average delay time per person |
title_full |
Real-time traffic signal optimization model based on average delay time per person |
title_fullStr |
Real-time traffic signal optimization model based on average delay time per person |
title_full_unstemmed |
Real-time traffic signal optimization model based on average delay time per person |
title_sort |
real-time traffic signal optimization model based on average delay time per person |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2015-10-01 |
description |
Real-time traffic signal control is very important for relieving urban traffic congestion. Many existing traffic control models were formulated using optimization approach, with the objective functions of minimizing vehicle delay time. To improve people’s trip efficiency, this article aims to minimize delay time per person. Based on the time-varying traffic flow data at intersections, the article first fits curves of accumulative arrival and departure vehicles, as well as the corresponding functions. Moreover, this article transfers vehicle delay time to personal delay time using average passenger load of cars and buses, employs such time as the objective function, and proposes a signal timing optimization model for intersections to achieve real-time signal parameters, including cycle length and green time. This research further implements a case study based on practical data collected at an intersection in Beijing, China. The average delay time per person and queue length are employed as evaluation indices to show the performances of the model. The results show that the proposed methodology is capable of improving traffic efficiency and is very effective for real-world applications. |
url |
https://doi.org/10.1177/1687814015613500 |
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