Identification of critical links based on the optimal reliable path in stochastic traffic networks.

In urban stochastic transportation networks, there are specific links that hold great importance. Disruptions or failures in these critical links can lead to reduced connectivity within the road network. Under this circumstance, this manuscript proposed a novel identification of critical links mathe...

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Main Authors: Yi Sun, Sirui Wang, Xiang Xu, Liang Shen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0301272&type=printable
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author Yi Sun
Sirui Wang
Xiang Xu
Liang Shen
author_facet Yi Sun
Sirui Wang
Xiang Xu
Liang Shen
author_sort Yi Sun
collection DOAJ
description In urban stochastic transportation networks, there are specific links that hold great importance. Disruptions or failures in these critical links can lead to reduced connectivity within the road network. Under this circumstance, this manuscript proposed a novel identification of critical links mathematical optimization model based on the optimal reliable path with consideration of link correlations under demand uncertainty. The method presented in this paper offers a solution to bypass the necessity of conducting a full scan of the entire road network. Due to the non-additive and non-linear properties of the proposed model, a modified heuristic algorithm based on K-shortest algorithm and inequality technical is presented. The numerical experiments are conducted to show that improve a certain road link may not necessarily improve the overall traffic conditions. Moreover, the results indicate that if the travel time reliability is not considered, it will bring errors to the identification of key links.
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spelling doaj.art-b52407eccd7a4a33932056b8925432992024-04-14T05:31:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01194e030127210.1371/journal.pone.0301272Identification of critical links based on the optimal reliable path in stochastic traffic networks.Yi SunSirui WangXiang XuLiang ShenIn urban stochastic transportation networks, there are specific links that hold great importance. Disruptions or failures in these critical links can lead to reduced connectivity within the road network. Under this circumstance, this manuscript proposed a novel identification of critical links mathematical optimization model based on the optimal reliable path with consideration of link correlations under demand uncertainty. The method presented in this paper offers a solution to bypass the necessity of conducting a full scan of the entire road network. Due to the non-additive and non-linear properties of the proposed model, a modified heuristic algorithm based on K-shortest algorithm and inequality technical is presented. The numerical experiments are conducted to show that improve a certain road link may not necessarily improve the overall traffic conditions. Moreover, the results indicate that if the travel time reliability is not considered, it will bring errors to the identification of key links.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0301272&type=printable
spellingShingle Yi Sun
Sirui Wang
Xiang Xu
Liang Shen
Identification of critical links based on the optimal reliable path in stochastic traffic networks.
PLoS ONE
title Identification of critical links based on the optimal reliable path in stochastic traffic networks.
title_full Identification of critical links based on the optimal reliable path in stochastic traffic networks.
title_fullStr Identification of critical links based on the optimal reliable path in stochastic traffic networks.
title_full_unstemmed Identification of critical links based on the optimal reliable path in stochastic traffic networks.
title_short Identification of critical links based on the optimal reliable path in stochastic traffic networks.
title_sort identification of critical links based on the optimal reliable path in stochastic traffic networks
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0301272&type=printable
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