Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation

This paper proposes a degree-of-priority based control strategy for emergency vehicle preemption operation to decrease the impacts of emergency vehicles on normal traffic. The proposed model features its effectiveness to the following three aspects: (1) a multilayer fuzzy model was established to de...

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Main Authors: Jiawen Wang, Wanjing Ma, Xiaoguang Yang
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/283207
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spelling doaj-77cbe589f7ba4e58b2decf4864fea6bd2020-11-24T20:58:26ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/283207283207Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption OperationJiawen Wang0Wanjing Ma1Xiaoguang Yang2Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaThis paper proposes a degree-of-priority based control strategy for emergency vehicle preemption operation to decrease the impacts of emergency vehicles on normal traffic. The proposed model features its effectiveness to the following three aspects: (1) a multilayer fuzzy model was established to determine the degree-of-priority based on emergency vehicle preemption demand intensity and preemption influence intensity; (2) for emergency vehicles with proper classification, a travel time estimation model for emergency traffic was formulated, an optimal emergency route determines model based on the level of priority of emergency events, and the emergency vehicle travel time was developed to minimize evacuation time as well as minimize the adverse impacts of preemption on normal traffic; and (3) a conditional traffic signals priority control method at each intersection of the evacuation route was built, so that traffic queue at each intersection can be cleared before the arrival of emergency vehicles. A simulation model based on field data was developed, and the performance of the proposed strategy was compared with the conventional local detection based method under the microscopic simulation model. The results validated the efficiency of the proposed strategy in terms of minimizing the delay of emergency vehicles and reducing adverse impacts on normal traffic.http://dx.doi.org/10.1155/2013/283207
collection DOAJ
language English
format Article
sources DOAJ
author Jiawen Wang
Wanjing Ma
Xiaoguang Yang
spellingShingle Jiawen Wang
Wanjing Ma
Xiaoguang Yang
Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation
Discrete Dynamics in Nature and Society
author_facet Jiawen Wang
Wanjing Ma
Xiaoguang Yang
author_sort Jiawen Wang
title Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation
title_short Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation
title_full Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation
title_fullStr Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation
title_full_unstemmed Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation
title_sort development of degree-of-priority based control strategy for emergency vehicle preemption operation
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2013-01-01
description This paper proposes a degree-of-priority based control strategy for emergency vehicle preemption operation to decrease the impacts of emergency vehicles on normal traffic. The proposed model features its effectiveness to the following three aspects: (1) a multilayer fuzzy model was established to determine the degree-of-priority based on emergency vehicle preemption demand intensity and preemption influence intensity; (2) for emergency vehicles with proper classification, a travel time estimation model for emergency traffic was formulated, an optimal emergency route determines model based on the level of priority of emergency events, and the emergency vehicle travel time was developed to minimize evacuation time as well as minimize the adverse impacts of preemption on normal traffic; and (3) a conditional traffic signals priority control method at each intersection of the evacuation route was built, so that traffic queue at each intersection can be cleared before the arrival of emergency vehicles. A simulation model based on field data was developed, and the performance of the proposed strategy was compared with the conventional local detection based method under the microscopic simulation model. The results validated the efficiency of the proposed strategy in terms of minimizing the delay of emergency vehicles and reducing adverse impacts on normal traffic.
url http://dx.doi.org/10.1155/2013/283207
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