Initiatives based on improving urban mobility havebeen traditionally a high priority. The introduction of the electric vehicle to solve the problems of congestion and pollution withincities has made it possible to solve some of these shortcomingsin combustion vehicles. Nevertheless, the needs of dynamic andcomplex environments that need decentralized solutions havedemanded strategies that can cope agilely and efficiently. Multi-agent systems allow overcoming these limitations connected tovehicles through their characteristics: autonomy, local vision anddecentralization. In this article, a systematic review (SR) of the existing literature on solutions that combine electric vehicles withthe advantages of multi-agent systems is performed. Researchesand publications covering a period between 2012 and today arepresented, where different approaches are collected to providesolutions to different problems such as routing, electric network, communication and electric charge. In addition, different mod-eling methodologies, algorithms or simulations implemented inreal environments are exposed, where the heterogeneity of thesolutions is associated with the nature of the problem.

中文翻译：

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城市交通领域的多智能体系统：系统回顾


传统上，基于改善城市交通的举措一直是重中之重。为了解决城市内的拥堵和污染问题而引入电动汽车，使得解决燃油汽车的一些缺点成为可能。然而，动态和复杂的环境需要分散的解决方案，因此需要能够灵活有效地应对的策略。多智能体系统可以通过其特性克服与车辆连接的这些限制：自主性、局部视野和去中心化。在本文中，对有关将电动汽车与多智能体系统的优点相结合的解决方案的现有文献进行了系统回顾（SR）。介绍了从 2012 年至今的研究和出版物，其中收集了不同的方法，为不同的问题（例如路由、电网、通信和收费）提供解决方案。此外，还暴露了在真实环境中实现的不同建模方法、算法或模拟，其中解决方案的异质性与问题的性质相关。