Entropy models of inhabitant trip distributions and parameters calibration

YAO Rong-han; WANG Dian-hai

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YAO Rong-han, WANG Dian-hai. Entropy models of inhabitant trip distributions and parameters calibration[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 106-110.

Citation:

YAO Rong-han, WANG Dian-hai. Entropy models of inhabitant trip distributions and parameters calibration[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 106-110.

YAO Rong-han, WANG Dian-hai. Entropy models of inhabitant trip distributions and parameters calibration[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 106-110.

Citation:

YAO Rong-han, WANG Dian-hai. Entropy models of inhabitant trip distributions and parameters calibration[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 106-110.

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Entropy models of inhabitant trip distributions and parameters calibration

School of Transportation, Jilin University, Changchun 130025, China

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Author Bio:
Yao Rong-han(1979-), female, doctoral student, 86-431-5095857, cyanyrh@yahoo.com.cn
Received Date: 2005-07-13
Publish Date: 2005-12-25

Abstract

Abstract

In order to find some general models to describe all kinds of inhabitant trip distributions, according to the maximum information entropy theory and statistics, new models under the constraints of the means of origin moments were built, a parameters calibration method was put forward to ascertain the parameters of the models. They were validated by the inhabitant trip survey data in Changchun city. The trip modes of walk, bike, bus and car pass χ² tests with 95% confidence when their orders of the highest origin moments are 3, 4 and 5 respectively. The comparison of χ² values and inhabitant trip distributions curves shows that the orders are different when the best effects of all trip modes are gotten. The differences result from the inner characteristics of trip modes. Analyzing result indicates that the information entropy models can quantificationally describe the distribution principle of any trip mode, the parameters validation method is simple and effective.
- traffic planning,
- trip distribution,
- maximum information entropy theory,
- entropy model

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References(12)

References

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