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通过分析乘客等待时间及公交车运行过程,研究公交车在换乘站的同步协调问题;以同步换乘人数最大、乘客总等待时间最小及公交车平均满载程度最大为目标,建立多目标公交同步换乘协同调度优化模型;采用基于小生境共享竞争复制算子的遗传算法求解该问题的Pareto解集,并利用信息熵法对Pareto解集进行决策优选;利用算例验证模型及算法的有效性。
By analyzing the passenger waiting time and the bus running process, the synchronization problem of the bus in the transfer station is studied. The multi-target bus synchronization is established with the goal of maximizing the maximum number of simultaneous transfer passengers, minimizing the total passenger waiting time and maximizing the average load of buses. Transfer coordination scheduling optimization model; the genetic algorithm based on niche sharing competition replicator is used to solve the Pareto solution set of the problem, and the information entropy method is used to make the decision of the Pareto solution set; the example is used to verify the validity of the model and the algorithm .