Abstract

In order to achieve joint operation among regional rail transit, urban rail transit and major bus lines, a joint operation coordination model was set up to optimize the joint operation, based on the analysis to the operation rules and cost of three mode of transit and passenger's travel cost. Thereafter, the standard genetic algorithm was used to test the application of this model with an example. And test results show that: the total cost and operating cost of joint operation system and passengers' waiting cost and transfer cost in the peak hour or in the flat peak hour are lower in the coordination state than in the non-coordination state; and passengers' travel cost are reduced more significantly than operation cost of joint coordination system. This can significantly increase passengers' satisfaction and it is very favorable to the operators' long-term operation and intelligent control.

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