Active Safety Planning Method for Transportation Network Design

Traffic accidents are frequent although various countermeasures are introduced. Traffic safety cannot be fundamentally improved if it is not considered in the transportation network design stage. Although it is well known that traffic safety is one of the most important concerns of the public, traff...

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Main Author: Hongzhi Lin
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5564063
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author Hongzhi Lin
author_facet Hongzhi Lin
author_sort Hongzhi Lin
collection DOAJ
description Traffic accidents are frequent although various countermeasures are introduced. Traffic safety cannot be fundamentally improved if it is not considered in the transportation network design stage. Although it is well known that traffic safety is one of the most important concerns of the public, traffic safety is not adequately accommodated in transportation planning. This paper considers traffic safety as a major criterion in designing a transportation network. It is a kind of proactive measure rather than reactive measure. A bilevel programming model system is proposed where the upper level is the urban planners’ decision to minimize the estimated total number of traffic accidents, and the lower level is the travelers’ response behaviors to achieve transportation system equilibrium. A genetic algorithm (GA) with elite strategy is proposed to solve the bilevel model. The method of successive averages (MSA) is embedded for the lower level model, which is a feedback procedure between destination choice and traffic assignment. To demonstrate the effectiveness of the proposed method and algorithm, an experimental study is carried out. The results show that these methods can be a valuable tool to design a safer transportation network although efficiency, in terms of system total travel time, is slightly sacrificed.
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spelling doaj-art-6ea459ae934b4f52a0b8109e1770a5e12025-02-03T05:53:26ZengWileyComplexity1099-05262021-01-01202110.1155/2021/5564063Active Safety Planning Method for Transportation Network DesignHongzhi Lin0School of Economics and ManagementTraffic accidents are frequent although various countermeasures are introduced. Traffic safety cannot be fundamentally improved if it is not considered in the transportation network design stage. Although it is well known that traffic safety is one of the most important concerns of the public, traffic safety is not adequately accommodated in transportation planning. This paper considers traffic safety as a major criterion in designing a transportation network. It is a kind of proactive measure rather than reactive measure. A bilevel programming model system is proposed where the upper level is the urban planners’ decision to minimize the estimated total number of traffic accidents, and the lower level is the travelers’ response behaviors to achieve transportation system equilibrium. A genetic algorithm (GA) with elite strategy is proposed to solve the bilevel model. The method of successive averages (MSA) is embedded for the lower level model, which is a feedback procedure between destination choice and traffic assignment. To demonstrate the effectiveness of the proposed method and algorithm, an experimental study is carried out. The results show that these methods can be a valuable tool to design a safer transportation network although efficiency, in terms of system total travel time, is slightly sacrificed.http://dx.doi.org/10.1155/2021/5564063
spellingShingle Hongzhi Lin
Active Safety Planning Method for Transportation Network Design
Complexity
title Active Safety Planning Method for Transportation Network Design
title_full Active Safety Planning Method for Transportation Network Design
title_fullStr Active Safety Planning Method for Transportation Network Design
title_full_unstemmed Active Safety Planning Method for Transportation Network Design
title_short Active Safety Planning Method for Transportation Network Design
title_sort active safety planning method for transportation network design
url http://dx.doi.org/10.1155/2021/5564063
work_keys_str_mv AT hongzhilin activesafetyplanningmethodfortransportationnetworkdesign