{"title":"Traffic efficiency and fairness optimisation for autonomous intersection management based on reinforcement learning","authors":"Yuanyuan Wu, D. Wang, Feng Zhu","doi":"10.1080/23249935.2023.2232047","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportmetrica A-Transport Science","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/23249935.2023.2232047","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
期刊介绍：
Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.
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