摘要
为解决传统的公交调度系统由于采用固定发车间隔的刚性发车模式,引起的乘客群体满意度和公交公司满意度之间的矛盾,建立了以乘客群体和公交公司满意度之和为优化目标的数学模型,采用基于引入免疫浓度机制的免疫遗传算法来寻找各个时段的最优发车间隔。经改进后,公交车辆发车时间间隔随着客流量波动而柔性地变化,可以使乘客群体和公交公司的满意度最大。
It establishes a mathematical model to maximize the summation of passenger flow and bus corporation satisfaction,proposes an immune genetic algorithm based on immunity regulation mechanism for optimization process.It develops the invariable scheduling mode of the traditional system.This system is more flexible that the departure time changs according to the fluctuation of the passenger flow and meets the satisfaction of passengers and the bus corporation,achieves the amelioration of the bus scheduling system from manual.
关键词
免疫遗传算法
客流量变化
智能公交调度系统
免疫浓度机制
Immune Genetic Algorithm
Passenger Flow Fluctuation
Intellective Bus Scheduling System
Immunity Regulation Mechanism.
