Influence Mechanism of Travel Information Service Level for Drivers' Travel Time Prediction Error

Neng Wan; Jian Xiong; Feng Xiang Guo

doi:10.4028/www.scientific.net/AMM.505-506.1183

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 505-506Influence Mechanism of Travel Information Service...

Influence Mechanism of Travel Information Service Level for Drivers' Travel Time Prediction Error

Abstract:

In order to reveal the effect mechanism of travel information service level for drivers travel time prediction error, defined the concept of travel information service level and travel time prediction error. Utilize the conceptual model, described the various influence factors of travel information service level and interaction relations. Discussed the relationship between the drivers travel information receiving preference habits and the road selection, analyzed the effect of the influence factors on drivers' road selection and travel time prediction, based on Bayesian methods analyzed the effect of different travel information service level for travel time prediction error. The calculation shows that the higher travel information service level can improve the drivers travel time prediction, increase the travel information service level play an important role for the efficiency of drivers travel, and provide theoretical support for planning and construction of travel information system on the future.

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Periodical:

Applied Mechanics and Materials (Volumes 505-506)

Pages:

1183-1188

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.505-506.1183

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Online since:

January 2014

Authors:

Neng Wan*, Jian Xiong, Feng Xiang Guo

Keywords:

Bayes, Road Selection, Service Level, Travel Information, Travel Time Prediction Error

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* - Corresponding Author

References

[1] Xiaofeng Ji, Wei Cheng: Chinese Journal of Ergonomics, 2011, 17(1): 60-62. In Chinese.

Google Scholar

[2] Asakura Y and Kashiwadani M: Proceedings of the 19th PTRC Summer Annua1 Meeting, Brighton, 1991: 73-84.

Google Scholar

[3] Asakura Y: Journal of Advanced Transportation, 1999, 33: 147-158.

Google Scholar

[4] Xiaofeng Ji, Fang Chen, Chunhua Han: Chinese Journal of Ergonomics, 2011, 17(4): 59-61. In Chinese.

Google Scholar

[5] Uno N: The 3th International Conference on Traffic and Transportation Studies. Guilin, China, 2002: 911-918.

Google Scholar

[6] Xiaofeng Ji, Yating Luo, Fang Chen: Urban Problems, 2012, (4): 78-82. In Chinese.

Google Scholar

[7] Zhihua Xiong: Study on Theory and Method of Travel Time Reliability about Road Network [D]. Beijing: Beijing Jiaotong University, 2006. In Chinese.

Google Scholar