关键词: 智能交通, 公交优化调度, 遗传算法, 机动式辅助客运系统, 广义费用

Abstract:

Based on the analysis of the facing problems for setting bus lines in urban suburbs and rural areas with less passenger demand and not balanced characteristics of spatial and temporal distribution, a scheduling system of intelligent public transport for urban suburbs and rural areas is designed by using mobile internet technology. Then the system structure and principle are introduced briefly, which consists of passenger information interacting module, data base, predicting module and scheduling decision supporting module. Moreover, the departure plan model and on- line scheduling updating model is established respectively. Genetic algorithm is adopted in the optimization course for solution. Finally, results based on historical information and booking information of public transport scheduling system show that the better public service level can be provided and the profit of public transport enterprise can be increased by using the proposed method. Furthermore, with the increase of proportion of booking passengers, the advantage of this mode is more obvious.

Key words: intelligent transportation, scheduling optimization of public transport, genetic algorithm (GA), mobility allowance shuttle transit (MAST) system, generalized cost