Multi-user and multi-mode assignment model of mixed stochastic traffic balance

HAN Yin; YUAN Peng-cheng

Volume 8 Issue 1

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HAN Yin, YUAN Peng-cheng. Multi-user and multi-mode assignment model of mixed stochastic traffic balance[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 97-101.

Citation:

HAN Yin, YUAN Peng-cheng. Multi-user and multi-mode assignment model of mixed stochastic traffic balance[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 97-101.

HAN Yin, YUAN Peng-cheng. Multi-user and multi-mode assignment model of mixed stochastic traffic balance[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 97-101.

Citation:

HAN Yin, YUAN Peng-cheng. Multi-user and multi-mode assignment model of mixed stochastic traffic balance[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 97-101.

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Multi-user and multi-mode assignment model of mixed stochastic traffic balance

HAN Yin^1
,,
YUAN Peng-cheng²

1.
School of Urban Construction and Environmental Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
2.
School of Business, University of Shanghai for Science and Technology, Shanghai 200093, China

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Author Bio:
Han Yin(1964-), male, professor, + 86-21-55273759, hanyin2000@126.com
Received Date: 2007-08-12
Publish Date: 2008-02-25

Abstract

Abstract

In order to realize the stochastic-balanceable assignment of mixed traffic flow in traffic network, the theory of routing selection and the conditions of network equilibrium were analyzed based on multi-user and multi-mode on the conditions of generalized cost and traffic information, a stochastic-balanceable assignment model of mixed traffic flow was put forward by using mathematical programming theory on the condition of traffic information, and the equivalence and uniqueness of the solution for the model were demonstrated. Computation result shows that the solution of the model quickly converges when the possessive ratio of traffic information market is 30%, and the iteration times are only 6, which indicates the effect degrees of traffic information on traffic mode choice and traffic flow assignment, so the model is feasible.
- traffic network,
- information conditions,
- multi-user and multi-mode,
- traffic assignment

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References(10)

References

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