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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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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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 |
record_format | Article |
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 |