Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic Equilibrium

A multidepot VRP is solved in the context of total urban traffic equilibrium. Under the total traffic equilibrium, the multidepot VRP is changed to GDAP (the problem of Grouping Customers + Estimating OD Traffic + Assigning traffic) and bilevel programming is used to model the problem, where the upp...

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Main Authors: Dongxu Chen, Zhongzhen Yang
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2017/8524960
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author Dongxu Chen
Zhongzhen Yang
author_facet Dongxu Chen
Zhongzhen Yang
author_sort Dongxu Chen
collection DOAJ
description A multidepot VRP is solved in the context of total urban traffic equilibrium. Under the total traffic equilibrium, the multidepot VRP is changed to GDAP (the problem of Grouping Customers + Estimating OD Traffic + Assigning traffic) and bilevel programming is used to model the problem, where the upper model determines the customers that each truck visits and adds the trucks’ trips to the initial OD (Origin/Destination) trips, and the lower model assigns the OD trips to road network. Feedback between upper model and lower model is iterated through OD trips; thus total traffic equilibrium can be simulated.
format Article
id doaj-art-c0a807523c5241069726e465b5469cf9
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2017-01-01
publisher Wiley
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series Journal of Advanced Transportation
spelling doaj-art-c0a807523c5241069726e465b5469cf92025-02-03T01:10:22ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/85249608524960Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic EquilibriumDongxu Chen0Zhongzhen Yang1Transportation Engineering College, Dalian Maritime University, Dalian 116026, ChinaFaculty of Maritime and Transportation, Ningbo University, Ningbo 315211, ChinaA multidepot VRP is solved in the context of total urban traffic equilibrium. Under the total traffic equilibrium, the multidepot VRP is changed to GDAP (the problem of Grouping Customers + Estimating OD Traffic + Assigning traffic) and bilevel programming is used to model the problem, where the upper model determines the customers that each truck visits and adds the trucks’ trips to the initial OD (Origin/Destination) trips, and the lower model assigns the OD trips to road network. Feedback between upper model and lower model is iterated through OD trips; thus total traffic equilibrium can be simulated.http://dx.doi.org/10.1155/2017/8524960
spellingShingle Dongxu Chen
Zhongzhen Yang
Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic Equilibrium
Journal of Advanced Transportation
title Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic Equilibrium
title_full Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic Equilibrium
title_fullStr Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic Equilibrium
title_full_unstemmed Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic Equilibrium
title_short Multiple Depots Vehicle Routing Problem in the Context of Total Urban Traffic Equilibrium
title_sort multiple depots vehicle routing problem in the context of total urban traffic equilibrium
url http://dx.doi.org/10.1155/2017/8524960
work_keys_str_mv AT dongxuchen multipledepotsvehicleroutingprobleminthecontextoftotalurbantrafficequilibrium
AT zhongzhenyang multipledepotsvehicleroutingprobleminthecontextoftotalurbantrafficequilibrium