Shortest-Way: An Improved Empirical Transition Method for Signal Coordination
Four fundamental insights into transition methods are provided from the perspective of traffic engineers. An improved empirical transition method (i.e., Shortest-way) is developed with the goal of reducing the time spent on offset correction and the offset deviations of the coordinated phases during...
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Language: | English |
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Wiley
2017-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2017/7670521 |
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author | Mingming Zheng Hongfeng Xu Kun Zhang Ronghan Yao |
author_facet | Mingming Zheng Hongfeng Xu Kun Zhang Ronghan Yao |
author_sort | Mingming Zheng |
collection | DOAJ |
description | Four fundamental insights into transition methods are provided from the perspective of traffic engineers. An improved empirical transition method (i.e., Shortest-way) is developed with the goal of reducing the time spent on offset correction and the offset deviations of the coordinated phases during the transition period. Shortest-way operates stepwise and can be activated to correct offset at the scheduled time to switch plans. The maximum amount of adjustment that can be made to a transition cycle length is calculated based on the timing parameters of active phases in the old and new plans. The problem of cycle length distribution is formulated as a nonlinear integer programming problem, aiming at minimizing the sum of the squares of the intersection offset deviations of all the transition cycles. The portion of the cycle length that can be allocated to each phase in a transition cycle is calculated based on its splits in the old and new plans and its potential contribution to the maximum amount of adjustment to the cycle length. The numerical experimental results proved the potential advantage of Shortest-way over CORSIM Shortway and justified the necessity for managing the time to switch plans at the intersection level. |
format | Article |
id | doaj-art-9b3738fef6e543948b544a85d8e78ccf |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-9b3738fef6e543948b544a85d8e78ccf2025-02-03T01:30:34ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/76705217670521Shortest-Way: An Improved Empirical Transition Method for Signal CoordinationMingming Zheng0Hongfeng Xu1Kun Zhang2Ronghan Yao3School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, Liaoning 116028, ChinaSchool of Transportation and Logistics, Dalian University of Technology, Dalian, Liaoning 116024, ChinaSchool of Transportation and Logistics, Dalian University of Technology, Dalian, Liaoning 116024, ChinaSchool of Transportation and Logistics, Dalian University of Technology, Dalian, Liaoning 116024, ChinaFour fundamental insights into transition methods are provided from the perspective of traffic engineers. An improved empirical transition method (i.e., Shortest-way) is developed with the goal of reducing the time spent on offset correction and the offset deviations of the coordinated phases during the transition period. Shortest-way operates stepwise and can be activated to correct offset at the scheduled time to switch plans. The maximum amount of adjustment that can be made to a transition cycle length is calculated based on the timing parameters of active phases in the old and new plans. The problem of cycle length distribution is formulated as a nonlinear integer programming problem, aiming at minimizing the sum of the squares of the intersection offset deviations of all the transition cycles. The portion of the cycle length that can be allocated to each phase in a transition cycle is calculated based on its splits in the old and new plans and its potential contribution to the maximum amount of adjustment to the cycle length. The numerical experimental results proved the potential advantage of Shortest-way over CORSIM Shortway and justified the necessity for managing the time to switch plans at the intersection level.http://dx.doi.org/10.1155/2017/7670521 |
spellingShingle | Mingming Zheng Hongfeng Xu Kun Zhang Ronghan Yao Shortest-Way: An Improved Empirical Transition Method for Signal Coordination Journal of Advanced Transportation |
title | Shortest-Way: An Improved Empirical Transition Method for Signal Coordination |
title_full | Shortest-Way: An Improved Empirical Transition Method for Signal Coordination |
title_fullStr | Shortest-Way: An Improved Empirical Transition Method for Signal Coordination |
title_full_unstemmed | Shortest-Way: An Improved Empirical Transition Method for Signal Coordination |
title_short | Shortest-Way: An Improved Empirical Transition Method for Signal Coordination |
title_sort | shortest way an improved empirical transition method for signal coordination |
url | http://dx.doi.org/10.1155/2017/7670521 |
work_keys_str_mv | AT mingmingzheng shortestwayanimprovedempiricaltransitionmethodforsignalcoordination AT hongfengxu shortestwayanimprovedempiricaltransitionmethodforsignalcoordination AT kunzhang shortestwayanimprovedempiricaltransitionmethodforsignalcoordination AT ronghanyao shortestwayanimprovedempiricaltransitionmethodforsignalcoordination |