关键词: 城市交通, 接运公交, 遗传算法, 可变客流, 固定公交

Abstract:

This study takes account of the private car demands whose destinations are not subway station and the demands taking the fixed bus lines originally, develops a feeder bus network optimal model with the minimum cost of passengers, operators and social for many-to-many travel demand. Logit model is applied to redirect private car demand between private car and feeder bus line, fixed bus line demand between feeder bus and fixed bus line. A genetic algorithm is developed to solve the problem. The results show that the model constructed in this paper and the applied genetic algorithm can obtain optimal feeder bus lines, the first bus station and transfer subway station for originally private car demand. The solution result shows that the feeder bus line strategies have a close relationship with the percentage of the whole traveling chain costs.

Key words: urban traffic, feeder bus, genetic algorithm, variable demand, fixed bus