Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions

Given the time-efficient characteristics of urban cold chain transportation and the time-varying characteristics of urban road speed, customers encounter the problem of limited vehicle path optimization due to a fuzzy time window. An optimization model of urban cold chain transportation with the obj...

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Main Authors: Shouchen Liu, Cheng Zhang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2021/8817991
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author Shouchen Liu
Cheng Zhang
author_facet Shouchen Liu
Cheng Zhang
author_sort Shouchen Liu
collection DOAJ
description Given the time-efficient characteristics of urban cold chain transportation and the time-varying characteristics of urban road speed, customers encounter the problem of limited vehicle path optimization due to a fuzzy time window. An optimization model of urban cold chain transportation with the objective function as the minimum total cost is constructed under the premise of service reliability, and an artificial immune particle swarm optimization algorithm is designed to solve the model. For an empirical analysis of Xiamen’s cold chain transportation, a two-stage solution involving “static optimization and dynamic optimization” is used to verify the effectiveness of the model and the practical value of this research. Results show that the time-varying model can effectively reflect the situation of urban road transportation and satisfy the timeliness requirement of urban cold chain transportation.
format Article
id doaj-art-a9df196c0b1e4369b8755722f11f272c
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-a9df196c0b1e4369b8755722f11f272c2025-02-03T01:10:08ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/88179918817991Optimization of Urban Cold Chain Transport Routes under Time-Varying Network ConditionsShouchen Liu0Cheng Zhang1School of Transportation and Logistics, East China Jiao Tong University, Nanchang 330013, ChinaSchool of Transportation and Logistics, East China Jiao Tong University, Nanchang 330013, ChinaGiven the time-efficient characteristics of urban cold chain transportation and the time-varying characteristics of urban road speed, customers encounter the problem of limited vehicle path optimization due to a fuzzy time window. An optimization model of urban cold chain transportation with the objective function as the minimum total cost is constructed under the premise of service reliability, and an artificial immune particle swarm optimization algorithm is designed to solve the model. For an empirical analysis of Xiamen’s cold chain transportation, a two-stage solution involving “static optimization and dynamic optimization” is used to verify the effectiveness of the model and the practical value of this research. Results show that the time-varying model can effectively reflect the situation of urban road transportation and satisfy the timeliness requirement of urban cold chain transportation.http://dx.doi.org/10.1155/2021/8817991
spellingShingle Shouchen Liu
Cheng Zhang
Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions
Journal of Advanced Transportation
title Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions
title_full Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions
title_fullStr Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions
title_full_unstemmed Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions
title_short Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions
title_sort optimization of urban cold chain transport routes under time varying network conditions
url http://dx.doi.org/10.1155/2021/8817991
work_keys_str_mv AT shouchenliu optimizationofurbancoldchaintransportroutesundertimevaryingnetworkconditions
AT chengzhang optimizationofurbancoldchaintransportroutesundertimevaryingnetworkconditions