{"title":"基于双层规划的最优公交车道动态预留","authors":"Shuai Zhang, Xinyi Zhang, Peng Wu","doi":"10.1109/ICNSC55942.2022.10004089","DOIUrl":null,"url":null,"abstract":"This work investigates a new dynamic bus lane reservation problem considering dynamic traffic demand. It is to optimally decide which road links in the bus transit network to set up reserved bus lanes and determine when they are implemented. The objective of the problem is to minimize the total cost of the transportation network, including construction costs and travel time costs for travelers. We formulate the problem as a new bi-level programming model. The upper level is to optimize where and when bus lanes are implemented, while the lower level contains the modal split, traffic assignment, and transit assignment. An improved genetic algorithm is proposed for solving the proposed model and converges to a satifactory solution. Computational results of a case study verify the effectiveness and efficiency of the proposed method.","PeriodicalId":230499,"journal":{"name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal dynamic bus lane reservation via bi-level programming\",\"authors\":\"Shuai Zhang, Xinyi Zhang, Peng Wu\",\"doi\":\"10.1109/ICNSC55942.2022.10004089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work investigates a new dynamic bus lane reservation problem considering dynamic traffic demand. It is to optimally decide which road links in the bus transit network to set up reserved bus lanes and determine when they are implemented. The objective of the problem is to minimize the total cost of the transportation network, including construction costs and travel time costs for travelers. We formulate the problem as a new bi-level programming model. The upper level is to optimize where and when bus lanes are implemented, while the lower level contains the modal split, traffic assignment, and transit assignment. An improved genetic algorithm is proposed for solving the proposed model and converges to a satifactory solution. Computational results of a case study verify the effectiveness and efficiency of the proposed method.\",\"PeriodicalId\":230499,\"journal\":{\"name\":\"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSC55942.2022.10004089\",\"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 International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC55942.2022.10004089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal dynamic bus lane reservation via bi-level programming
This work investigates a new dynamic bus lane reservation problem considering dynamic traffic demand. It is to optimally decide which road links in the bus transit network to set up reserved bus lanes and determine when they are implemented. The objective of the problem is to minimize the total cost of the transportation network, including construction costs and travel time costs for travelers. We formulate the problem as a new bi-level programming model. The upper level is to optimize where and when bus lanes are implemented, while the lower level contains the modal split, traffic assignment, and transit assignment. An improved genetic algorithm is proposed for solving the proposed model and converges to a satifactory solution. Computational results of a case study verify the effectiveness and efficiency of the proposed method.