Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon Policy

The use of multi-compartment vehicles (MCVs) in urban logistics distribution is increasing. However, urban traffic congestion causes high carbon emissions in the logistics distribution, resulting in unsustainable development in urban transportation. In addition, the application of the mixed carbon p...

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Main Authors: Xueru Fan, Guanxin Yao, Yang Yang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/18/10304
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author Xueru Fan
Guanxin Yao
Yang Yang
author_facet Xueru Fan
Guanxin Yao
Yang Yang
author_sort Xueru Fan
collection DOAJ
description The use of multi-compartment vehicles (MCVs) in urban logistics distribution is increasing. However, urban traffic congestion causes high carbon emissions in the logistics distribution, resulting in unsustainable development in urban transportation. In addition, the application of the mixed carbon policy has gradually become the first choice for energy conservation and emission reduction in some countries and regions. The transportation industry is a major carbon-emitting industry, which needs to be constrained by carbon emission reduction policies. In this context, the research on the multi-compartment vehicle routing problem (MCVRP) considering traffic congestion under the mixed carbon policy is carried out. Firstly, a mathematical model of MCVRP considering traffic congestion under the mixed carbon policy is constructed. Secondly, a two-stage variable neighborhood threshold acceptance algorithm (VNS-TA) is proposed to solve the above mathematical model. Thirdly, 14 adapted standard examples of the MCVRP are used to verify the effectiveness and optimization ability of the two-stage VNS-TA algorithm. A simulation example of the MCVRP considering traffic congestion under the mixed carbon policy is used to conduct sensitivity analyses for different scenarios. Finally, the following conclusions are drawn: (1) the two-stage VNS-TA algorithm is effective and has strong optimization ability in solving the basic MCVRP, and (2) the two-stage VNS-TA algorithm can solve and optimize the MCVRP considering traffic congestion under the mixed carbon policy, which has the effects of cost saving and energy conservation and emission reduction.
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spelling doaj.art-fe21fd239834411a9b46ad40b0f1d7592023-11-19T09:25:53ZengMDPI AGApplied Sciences2076-34172023-09-0113181030410.3390/app131810304Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon PolicyXueru Fan0Guanxin Yao1Yang Yang2School of Management, Jiangsu University, Zhenjiang 212013, ChinaJiangsu Modern Logistics Research Base, Yangzhou University, Yangzhou 225009, ChinaChina Institute for Agricultural Equipment Industrial Development, Jiangsu University, Zhenjiang 212013, ChinaThe use of multi-compartment vehicles (MCVs) in urban logistics distribution is increasing. However, urban traffic congestion causes high carbon emissions in the logistics distribution, resulting in unsustainable development in urban transportation. In addition, the application of the mixed carbon policy has gradually become the first choice for energy conservation and emission reduction in some countries and regions. The transportation industry is a major carbon-emitting industry, which needs to be constrained by carbon emission reduction policies. In this context, the research on the multi-compartment vehicle routing problem (MCVRP) considering traffic congestion under the mixed carbon policy is carried out. Firstly, a mathematical model of MCVRP considering traffic congestion under the mixed carbon policy is constructed. Secondly, a two-stage variable neighborhood threshold acceptance algorithm (VNS-TA) is proposed to solve the above mathematical model. Thirdly, 14 adapted standard examples of the MCVRP are used to verify the effectiveness and optimization ability of the two-stage VNS-TA algorithm. A simulation example of the MCVRP considering traffic congestion under the mixed carbon policy is used to conduct sensitivity analyses for different scenarios. Finally, the following conclusions are drawn: (1) the two-stage VNS-TA algorithm is effective and has strong optimization ability in solving the basic MCVRP, and (2) the two-stage VNS-TA algorithm can solve and optimize the MCVRP considering traffic congestion under the mixed carbon policy, which has the effects of cost saving and energy conservation and emission reduction.https://www.mdpi.com/2076-3417/13/18/10304mixed carbon policytraffic congestionmulti-compartment vehicle routing problem (MCVRP)two-stage variable neighborhood threshold acceptance algorithm (VNS-TA)sustainable transportation
spellingShingle Xueru Fan
Guanxin Yao
Yang Yang
Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon Policy
Applied Sciences
mixed carbon policy
traffic congestion
multi-compartment vehicle routing problem (MCVRP)
two-stage variable neighborhood threshold acceptance algorithm (VNS-TA)
sustainable transportation
title Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon Policy
title_full Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon Policy
title_fullStr Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon Policy
title_full_unstemmed Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon Policy
title_short Multi-Compartment Vehicle Routing Problem Considering Traffic Congestion under the Mixed Carbon Policy
title_sort multi compartment vehicle routing problem considering traffic congestion under the mixed carbon policy
topic mixed carbon policy
traffic congestion
multi-compartment vehicle routing problem (MCVRP)
two-stage variable neighborhood threshold acceptance algorithm (VNS-TA)
sustainable transportation
url https://www.mdpi.com/2076-3417/13/18/10304
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AT guanxinyao multicompartmentvehicleroutingproblemconsideringtrafficcongestionunderthemixedcarbonpolicy
AT yangyang multicompartmentvehicleroutingproblemconsideringtrafficcongestionunderthemixedcarbonpolicy