Multi-agent systems in the field of urbane-mobility: A Systematic Review

Abstract

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.