Bi-level programming model of route traffic information guidance

XU Li-li; SHAO Chun-fu

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XU Li-li, SHAO Chun-fu. Bi-level programming model of route traffic information guidance[J]. Journal of Traffic and Transportation Engineering, 2007, 7(5): 93-96.

Citation:

XU Li-li, SHAO Chun-fu. Bi-level programming model of route traffic information guidance[J]. Journal of Traffic and Transportation Engineering, 2007, 7(5): 93-96.

XU Li-li, SHAO Chun-fu. Bi-level programming model of route traffic information guidance[J]. Journal of Traffic and Transportation Engineering, 2007, 7(5): 93-96.

Citation:

XU Li-li, SHAO Chun-fu. Bi-level programming model of route traffic information guidance[J]. Journal of Traffic and Transportation Engineering, 2007, 7(5): 93-96.

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Bi-level programming model of route traffic information guidance

School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

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Author Bio:
Xu Li-li(1982-), famale, graduate studem of engineering, +86-10-51687145, xulilimaya@hotmail.com

Shao Chun-fu(1957-), male, EngD, professor, +86-10-51688344, cfshao@center.nitu.edu.cn
Received Date: 2007-04-22
Publish Date: 2007-10-25

Abstract

Abstract

In order to reduce traffic congestion and improve road network efficiency, a bi-level programming model of route traffic information guidance was set up.Managers' optimal function about road network efficiency was optimized by providing different types of information in its upper model, the optimal route choice behavior of driver was described by using utility function in its lower model, its decision-making variables were information types, so that the influence of traffic information on the route choice behavior of driver was introduced into the model.A simple road network was analyzed by using extreme point search method, and the upper function values were computed under different traffic informations.Computation result shows that the fluctuation range of the values is from 8% to 13%, but the congestion vanishing information promulgated from the model in traffic congestion is optimal, the total benefit from qualitative information is greater than that from indication information, so the model is feasible.
- traffic information,
- bi-level programming model,
- route guidance,
- route choice

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References(11)

References

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