Simulation on Resident Individual Trip Choice Decision Making: Based on Modeling of Rough Set and Genetic Algorithms

Abstract : Urban Residents are the evaluation subjects for the transportation policy. It is very important for the scientific development of transportation policy to research on the travel behavior from the perspective of quantitative modelling. Urban residents scientific of individual travel decisions are the prerequisites for group urban residents travel behaviors. This paper analyses the general population travel behavior based on the basis of the actual survey data and uses rough set theory to reduce the residents travel decision influencing factors. The univariate weight matrix and the corresponding weight matrix could be obtained. On this basis, the genetic algorithms objective function and fitness function could be optimized. Finally, an example simulation is given in this paper to verify the validity of the travel decision-making simulation model.
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Communication dans un congrès
Kecheng Liu; Keiichi Nakata; Weizi Li; Daniel Galarreta. 16th International Conference on Informatics and Semiotics in Organisations (ICISO), Mar 2015, Toulouse, France. Springer, IFIP Advances in Information and Communication Technology, AICT-449, pp.176-185, 2015, Information and Knowledge Management in Complex Systems. 〈10.1007/978-3-319-16274-4_18〉
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Jing Li, Xin Zhu, Dan Chang. Simulation on Resident Individual Trip Choice Decision Making: Based on Modeling of Rough Set and Genetic Algorithms. Kecheng Liu; Keiichi Nakata; Weizi Li; Daniel Galarreta. 16th International Conference on Informatics and Semiotics in Organisations (ICISO), Mar 2015, Toulouse, France. Springer, IFIP Advances in Information and Communication Technology, AICT-449, pp.176-185, 2015, Information and Knowledge Management in Complex Systems. 〈10.1007/978-3-319-16274-4_18〉. 〈hal-01324976〉

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