{"title":"基于遗传算法和智能信息系统的定制公交调度优化研究","authors":"Wen-Chao Shao, Baizheng Wang, Yanyan Han, Xiong Zhao, Qiang Zhang, Yihong Qin","doi":"10.1109/TOCS56154.2022.10016111","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Optimization of Customized Bus Dispatching by Genetic Algorithm and Intelligent Information System\",\"authors\":\"Wen-Chao Shao, Baizheng Wang, Yanyan Han, Xiong Zhao, Qiang Zhang, Yihong Qin\",\"doi\":\"10.1109/TOCS56154.2022.10016111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":227449,\"journal\":{\"name\":\"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS56154.2022.10016111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS56154.2022.10016111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.