{"title":"Extended review of multi-agent solutions to Advanced Public Transportation Systems challenges","authors":"Flavien Balbo, René Mandiau, Mahdi Zargayouna","doi":"10.1007/s12469-023-00332-9","DOIUrl":null,"url":null,"abstract":"Abstract Over the past few decades, intelligent transportation systems (ITS) have emerged as an effective way to improve the performance of transportation systems. ITS provide innovative services, enhance travel safety, provide travellers with more choices, and make transportation systems more efficient. Multi-agent systems (MAS), which define autonomous interacting entities, are suitable for modelling distributed and intelligent systems in general and ITS in particular. This paper provides an in-depth review of multi-agent systems applied to Advanced Public Transportation Systems (APTS), a subclass of ITS dedicated to managing public transportation networks. We carefully analysed 38 papers in this study, published in 19 journals during 31 years (1990–2020). We perform a synthetic analysis of the trends in this domain and a qualitative analysis focused on multi-agent systems’ dimensions and properties. We show that the MAS approach is well suited to the real-time management of disturbances thanks to their delegation process, and their pro-activeness and autonomy properties.","PeriodicalId":46539,"journal":{"name":"Public Transport","volume":"47 14","pages":"0"},"PeriodicalIF":2.3000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12469-023-00332-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Over the past few decades, intelligent transportation systems (ITS) have emerged as an effective way to improve the performance of transportation systems. ITS provide innovative services, enhance travel safety, provide travellers with more choices, and make transportation systems more efficient. Multi-agent systems (MAS), which define autonomous interacting entities, are suitable for modelling distributed and intelligent systems in general and ITS in particular. This paper provides an in-depth review of multi-agent systems applied to Advanced Public Transportation Systems (APTS), a subclass of ITS dedicated to managing public transportation networks. We carefully analysed 38 papers in this study, published in 19 journals during 31 years (1990–2020). We perform a synthetic analysis of the trends in this domain and a qualitative analysis focused on multi-agent systems’ dimensions and properties. We show that the MAS approach is well suited to the real-time management of disturbances thanks to their delegation process, and their pro-activeness and autonomy properties.
期刊介绍：
The scope and purpose of the journal includes, but is not limited to, any type of research in the area of Public Transport: Planning and Operations. As its core it serves the primary mission of advancing the state of the art and the state of the practice in computer-aided systems and scheduling in public transport. The journal considers any type of subjects in this area especially with a focus to planning and scheduling, the common ground is the use of computer-aided methods and operations research techniques to improve information management, network and route planning, vehicle and crew scheduling and rostering, vehicle monitoring and management, and practical experience with scheduling and public transport planning methods. Besides theoretical papers, the journal also publishes case studies and applications. Public Transport addresses transport operators, consulting firms and academic institutions involved in development, utilization or research of computer-aided planning and scheduling in public transport.Officially cited as: Public Transp
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
