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Author:

Hao, H.-R. (Hao, H.-R..) | Shao, C.-F. (Shao, C.-F..) | Yue, H. (Yue, H..) | Duan, L.-M. (Duan, L.-M..)

Indexed by:

Scopus CSCD

Abstract:

To determine the location of hubs in road passenger transportation plan, a method based on multi-objective optimization is presented in this paper. First, the road passenger transportation network in planning area is simplified as a directed graph and the hub location problem is transformed into 0-1 planning problem. Then the total hubs building cost, passenger network transportation expenses, and trip distance is selected as the optimization objectives, which is subject to the actual conditions of road passenger transportation. Finally, multi-objective genetic algorithm based on the selection after multi-objective value ordering and combining is adopted for model solution, and a computation example of passenger hub location is tested and analyzed. ©2009 by Science Press.

Keyword:

Genetic algorithm; Multi-objective optimization; Traffic engineering; Transportation hub location

Author Community:

  • [ 1 ] [Hao, H.-R.]MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
  • [ 2 ] [Shao, C.-F.]MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
  • [ 3 ] [Yue, H.]MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
  • [ 4 ] [Yue, H.]Transportation Research Center, Beijing University of Technology, Beijing 100022, China
  • [ 5 ] [Duan, L.-M.]Jilin Provincial Highway Survey and Design Institute, Changchun 130021, China

Reprint Author's Address:

  • [Shao, C.-F.]MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China

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Source :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1009-6744

Year: 2009

Issue: 5

Volume: 9

Page: 90-95

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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