[1] Zhang Ning, Qian Zhendong, Chen Kai, Yang Liqiang, et al. Fund budget model for multipurpose transit smart card systems [J]. Journal of Southeast University (English Edition), 2008, 24 (1): 95-98. [doi:10.3969/j.issn.1003-7985.2008.01.021]

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

24

Issue:

2008 1

Page:

95-98

Research Field:

Traffic and Transportation Engineering

Publishing date:

2008-03-30

Info

Title:

Fund budget model for multipurpose transit smart card systems

Author(s):

Zhang Ning;  Qian Zhendong;  Chen Kai;  Yang Liqiang

Intelligent Transportation System Research Center, Southeast University, Nanjing 210096, China

Keywords:

multipurpose transit smart card systems;  fund budgeting;  stochastic programming;  genetic algorithm

PACS:

U491

DOI:

10.3969/j.issn.1003-7985.2008.01.021

Abstract:

The fund budget of multipurpose transit smart card systems is studied by stochastic programming to assign limited funds to different applications reasonably.Under the constraints of a gross fund, models of chance-constrained and dependent-chance for the fund budget of multipurpose transit smart card systems are established with application scale and social demand as random variables, respectively aiming to maximize earnings and satisfy the service requirements the furthest; and the genetic algorithm based on stochastic simulation is adopted for model solution.The calculation results show that the fund budget differs greatly with different system objectives which can cause the systems to have distinct expansibilities, and the application scales of some applications may not satisfy user demands with limited funds.The analysis results indicate that the forecast of application scales and application future demands should be done first, and then the system objective is determined according to the system mission, which can help reduce the risks of fund budgets.

References:

[1] Zhang Ning, Tao Zhixiang, Guo Xiucheng.Evaluation on multipurpose transit smart card system planning [J].Journal of Traffic and Transportation Engineering, 2004, 4(4):97-101.(in Chinese)
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[8] Liu B.Dependent-chance programming:a class of stochastic programming[J].Computers & Mathematics with Applications, 1997, 34(12):89-104.
[9] Liu B.Dependent-chance goal programming and its genetic algorithm based approach[J].Mathematical and Computer Modeling, 1996, 24(7):43-52.
[10] Iwamura K, Liu B.A genetic algorithm for chance-constrained programming[J].Journal of Information & Optimization Sciences, 1996, 17(2):40-47.
[11] Zhao R, Iwamura K, Liu B.Chance-constrained integer goal programming and stochastic simulation based genetic algorithms[J].Journal of Systems Science and Systems Engineering, 1998, 7(1):96-102.
[12] Zhang Wenxiu, Liang Yi.Mathematical basis for genetic algorithm [M].Xi’an:Xi’an Jiaotong University Press, 2000.(in Chinese)
[13] Zhang Ning.Study on plan and evaluation of multipurpose transit smart card systems [D].Nanjing:School of Transportation of Southeast University, 2004.(in Chinese)

Memo

Memo:

Biography: Zhang Ning(1972—), male, doctor, associate professor, ningzhang1972@yahoo.com.cn.
Foundation items: The Key Technology R& D Program of Jiangsu Science and Technology Department(No.BE2006010), the Key Technology R& D Program of Nanjing Science and Technology Bureau(No.200601001), Science and Technology Research Projects of Nanjing Metro Headquarters(No.8550143007).
Citation: Zhang Ning, Qian Zhendong, Chen Kai, et al.Fund budget model for multipurpose transit smart card systems[J].Journal of Southeast University(English Edition), 2008, 24(1):95-98.

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