{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ma J"],"funding":["Fundamental Research Funds for the Central Universities","National Natural Science Foundation of China","Foundation for Innovative Research Groups of the National Natural Science Foundation of China"],"pagination":["e0168762"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5216015"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"pubmed_abstract":["Customized buses (CBs) are a new mode of public transportation and an important part of diversified public transportation, providing advanced, attractive and user-led service. The operational activity of a CB is planned by aggregating space-time demand and similar passenger travel demands. Based on an analysis of domestic and international research and the current development of CBs in China and considering passenger travel data, this paper studies the problems associated with the operation of CBs, such as stop selection, line planning and timetables, and establishes a model for the stop planning and timetables of CBs. The improved immune genetic algorithm (IIGA) is used to solve the model with regard to the following: 1) multiple population design and transport operator design, 2) memory "],"journal":["PloS one"],"pubmed_title":["A Model for the Stop Planning and Timetables of Customized Buses."],"pmcid":["PMC5216015"],"funding_grant_id":["71471014","T11JB00430","71621001"],"pubmed_authors":["Yang Y","Guan W","Song C","Ma J","Liu T","Wang J","Zhao Y"],"additional_accession":[]},"is_claimable":false,"name":"A Model for the Stop Planning and Timetables of Customized Buses.","description":"Customized buses (CBs) are a new mode of public transportation and an important part of diversified public transportation, providing advanced, attractive and user-led service. The operational activity of a CB is planned by aggregating space-time demand and similar passenger travel demands. Based on an analysis of domestic and international research and the current development of CBs in China and considering passenger travel data, this paper studies the problems associated with the operation of CBs, such as stop selection, line planning and timetables, and establishes a model for the stop planning and timetables of CBs. The improved immune genetic algorithm (IIGA) is used to solve the model with regard to the following: 1) multiple population design and transport operator design, 2) memory ","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017","modification":"2025-04-04T09:03:04.675Z","creation":"2019-03-27T02:33:18Z"},"accession":"S-EPMC5216015","cross_references":{"pubmed":["28056041"],"doi":["10.1371/journal.pone.0168762"]}}