Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

A Vehicle Route Choice Method Based on Uncertain Multi-Attribute Decision Making

Publication: ICTE 2019

ABSTRACT

A vehicle route choice method based on uncertain multiple attribute decision making is put forward in the paper, aiming at solving such a problem that travelers have to take the following path indexes into account when they select an optimal route: travel time, travel fee and the degree of congestion, etc. Owing to the indefinite characteristics of the values of some indexes, the utility function cannot precisely interpret such a problem by arithmetic expression. Through the weighting and normative approach of three kinds of index values: real number, interval number, or fuzzy number in the decision matrix, positive and negative ideal points are set up. According to the rule that traveler’s selected route should be near to the positive ideal point and far away from the negative one, the optimal route is picked out according to the value of the comparative closeness. In the end, the rationality and validity of the algorithm are proved by an example.

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ACKNOWLEDGEMENT

This research was supported by Jiangmen science and technology plan projects in foundation and theory researches(Project No.: 201701003005381), and Wuyi University undergraduate engineering projects in teaching quality and teaching reform (Project No.: JX2018031).The author is grateful to these supports.

REFERENCES

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Wallenius, J., Dyer, J.S., Fishburn, P.C., et al. (2008). “Multiple Criteria Decision Making, Multi-attribute Utility Theory: Recent Accomplishments and What Lies Ahead.” Management Science, 54 (7): 1336-1349.
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Information & Authors

Information

Published In

Go to ICTE 2019
ICTE 2019
Pages: 25 - 30
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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School of Rail Transportation, Wuyi Univ., Jiangmen, Guangdong 529020, China. E-mail: [email protected]

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