The Methodology Analysis of Traffic Volume Data Processing of Regional Road Network Based on Bi-Level Programming Models

Xiao Li Meng; Da Wei Chen

doi:10.4028/www.scientific.net/AMM.397-400.2191

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400The Methodology Analysis of Traffic Volume Data...

The Methodology Analysis of Traffic Volume Data Processing of Regional Road Network Based on Bi-Level Programming Models

Abstract:

The data processing of traffic volume is a key issue in the traffic planning. In order to solve the problem of data processing on traffic volume, the bi-level programming model built is employed to work out production-attraction value of each district and O-D distribution matrix. In this model, upper part is to calculate the minimized variance between investigated value and calculated value. While the lower part of this model aims at the fact that travelers turn to the shortest path. The upper model is solved by genetic algorithm. And the result from an example application reveals that we can obtain reasonable production-attraction value and O-D distribution matrix by this method.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

2191-2195

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.2191

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Online since:

September 2013

Authors:

Xiao Li Meng*, Da Wei Chen

Keywords:

Bi-Level Programming Model, Genetic Algorithm (GA), Traffic Volume

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References

[1] Heping Zhou, Kefei Yan, Liege Hu. Application of a Genetic Algorithm Based on Stochastic Simulation for Estimating Origin-Destination Matrices [J], systems engineering, (2003), 21 (4), pp.114-119.

Google Scholar

[2] Yosef Sheffi. Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods [M]; Prentice-Hall INC, (1984).

Google Scholar

[3] Xuhong Li. Traffic Planning [M]. Nanjing: Southeast University Press, (1997).

Google Scholar

[4] Heping Zhou, Kefei Yan, Ruhua Xu, Ya Wen. Highway Network Design Using Bi-level Programming Model Based on Genetic Algorithm [J], Journal of Tongji University, (2005), 33(7): pp.920-925.

Google Scholar

[5] Wenxiu Zhang, Yi Liang. Mathematical Foundation of Genetic Algorithms [M], Xi'an Jiaotong University Press, Xi'an, (1999).

Google Scholar