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Vehicle routing problem solution considering minimising fuel consumption

  • Published:2015-06 Issue:5 Volume:9 Page:523-529
  • ISSN:1751-9578
  • Container-title:IET Intelligent Transport Systems
  • language:en
  • Short-container-title:IET Intelligent Transport Systems

Author:

Yao Enjian12,Lang Zhifeng3ORCID,Yang Yang1,Zhang Yongsheng1

Affiliation:

1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and TechnologyBeijing Jiaotong UniversityBeijingPeople's Republic of China

2. Center of Cooperative Innovation for Beijing Metropolitan TransportationBeijingPeople's Republic of China

3. China Railway First Survey & Design Institute Group Co., Ltd.Xi'anPeople's Republic of China

Funder

Specialized Research Fund for the Doctoral Program of Higher Education of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Reference27 articles.

1. Green logistics capacitated VRPSDP based on ant colony algorithm;Yu L.;Comput. Syst. Appl.,2013

2. Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem

3. Getting drivers to do the right thing: a review of the potential for safely reducing energy consumption through design;McIlroy R.C.;IET Intell. Transp. Syst.,2013

4. A green vehicle routing problem;Erdoğan S.;Transp. Res. E,2012
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