Volume 8 Number 4 (Apr. 2013)
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JSW 2013 Vol.8(4): 908-915 ISSN: 1796-217X
doi: 10.4304/jsw.8.4.908-915

Using Bi-level Multi-Objective Programming in Passenger Structure Optimization for Comprehensive Transportation Channel

Yanhong Li1, 2, Dong Wang1, Xiaonian Sun1, Zhenzhou Yuan2
1China Academy of Transportation Sciences/ Transportation Technical Advisory Center, Beijing China
2Beijing Jiao Tong University/ School of Traffic and Transportation, Beijing China

Abstract—The economic structure is the lifeblood of national economic development. Passenger structure within comprehensive transportation channel (CTC) is the key to play a higher efficiency and to operate normally of an integrated transport system. This paper analyzes the ideas of PTS optimization within CTC using bi-level planning strategies. And then a bi-level multi-objective programming model is established in this paper, in which the upper level takes the builders and government’s concern into account, such as system efficiency, transport capacity, capital investment. The lower level is a network equilibrium model based on a generalized cost function, while Channel saturation entropy index is introduced in the response function. A particle swarm optimization algorithm is designed to efficiently solve this NP-hard model. Finally, numerical implementations based on Beijing-Shanghai Channel are carried out to account for the performance of our model and algorithm.

Index Terms—Comprehensive Transportation Channel, Passenger Transport Structure, Optimization, Bi-level Multi-objective Programming, Particle Swarm Algorithm.


Cite: Yanhong Li, Dong Wang, Xiaonian Sun, Zhenzhou Yuan, "Using Bi-level Multi-Objective Programming in Passenger Structure Optimization for Comprehensive Transportation Channel," Journal of Software vol. 8, no. 4, pp. 908-915, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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