Improved Genetic Algorithm for the Regional Multi-line Bus Dispatching

Jinling Du, L. Cao
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Abstract

Bus trip is a healthy way to travel, and optimal bus dispatching decides social and economic benefits. Based on the analysis for both the existing traffic environment and bus dispatching, a mathematical model of the regional multi-line bus dispatching within is proposed in this paper such that the goal function of this model are the average maximal satisfaction for passengers, the average loading rate of the maximum and the minimal average bus departure frequency of the bus company, respectively. Furthermore, the genetic algorithm is improved further to prevent premature for the algorithm and ensure fast convergence of the algorithm. Finally, case analysis gives a satisfying departure interval for each time period in a day and verifies the effectiveness of the algorithm.
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区域多线路公交调度的改进遗传算法
公交出行是一种健康的出行方式,最优的公交调度决定着社会效益和经济效益。本文在对现有交通环境和公交调度进行分析的基础上,提出了区域内多线公交调度的数学模型,该模型的目标函数分别为公交公司的平均最大乘客满意度、最大平均上座率和最小平均发车频率。进一步改进了遗传算法,避免了算法的早熟,保证了算法的快速收敛。最后通过实例分析,给出了一天中各个时间段的满意出发间隔,验证了算法的有效性。
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