Extended review of multi-agent solutions to Advanced Public Transportation Systems challenges

IF 2.3 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY

Public Transport Pub Date : 2023-11-14 DOI:10.1007/s12469-023-00332-9

Flavien Balbo, René Mandiau, Mahdi Zargayouna

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.

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针对先进公共交通系统挑战的多智能体解决方案的扩展回顾

在过去的几十年里，智能交通系统(ITS)作为一种提高交通系统性能的有效方法而出现。智能交通系统提供创新服务，提高旅行安全性，为旅客提供更多选择，并使交通系统更有效率。多智能体系统(MAS)定义了自主交互实体，适用于一般分布式智能系统的建模，尤其是智能交通系统。本文对应用于高级公共交通系统(APTS)的多智能体系统进行了深入的综述，APTS是智能交通系统的一个子类，专门用于管理公共交通网络。我们仔细分析了本研究中的38篇论文，这些论文发表在31年间(1990-2020年)的19种期刊上。我们对该领域的趋势进行了综合分析，并对多智能体系统的维度和属性进行了定性分析。我们表明，MAS方法非常适合于干扰的实时管理，这要归功于它们的授权过程，以及它们的主动性和自主性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Public Transport TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

5.40

自引率

15.40%

发文量

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