基于遗传算法和智能信息系统的定制公交调度优化研究

Wen-Chao Shao, Baizheng Wang, Yanyan Han, Xiong Zhao, Qiang Zhang, Yihong Qin
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摘要

为了解决低密度出行区乘客从住所到换乘站之间的“最后一公里”问题,本文探讨了定制公交调度的优化问题。将定制客车与主线客车运营的有效衔接纳入优化范畴,在已知车队规模和乘客出行需求的前提下,考虑多车型联合调度对企业运营的影响和形成时间可靠性对乘客满意度的影响,优化目标是构建以运营成本最大、乘客满意度最小为考虑目标的定制化公交调度优化模型,同时设计遗传算法求解模型。研究结果表明,采用多车型联合调度的配置方案运行效果较好,说明该模型具有一定的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Optimization of Customized Bus Dispatching by Genetic Algorithm and Intelligent Information System
In order to solve the problem of the "last mile" of passengers traveling between their residences and transfer stations in low-density travel areas, this paper discusses the optimization of customized bus dispatching. Incorporate the effective connection of the customized bus and the main line bus operation into the optimization category, consider the impact of the joint dispatch of multiple vehicle types on the operation of the enterprise and the impact of the formation time reliability on the passenger satisfaction, in the known fleet size and passenger travel Under the premise of demand, the optimization goal is to construct a customized bus dispatching optimization model that considers passenger satisfaction with the maximum operating cost and minimum passenger satisfaction, and at the same time, a genetic algorithm solution model is designed. The research results show that the vehicle configuration scheme that adopts the joint scheduling of multiple vehicle types has a better operation effect, indicating that the model has a certain feasibility.
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