Using TraSMAPI for Developing Multi-Agent Intelligent Traffic Management Solutions

Abstract

AbstractIntelligent Traffic Management is undoubtedly a promising solution to tackle modern cities’ problems related to the growth of the urban traffic volume as it is a non-invasive approach when compared to interventions to the road network structure. Among possible solutions aiming at Intelligent Traffic Management, we believe that Multi-Agent Systems are the most appropriate metaphor to deal with complex domains such as road networks and traffic management and control systems. However, we feel that traffic management and control, particularly intelligent traffic control, is an issue that has not yet been addressed to its full potential. Therefore, we propose in our approach to use TraSMAPI, a tool that offers the possibility of developing real-time Multi-Agent solutions over microscopic simulators, as a basis for the development of intelligent traffic management systems aiming at the creation of revolutionary solutions in the field of traffic and transport systems.KeywordsRoad NetworkTraffic ControlTraffic LightTraffic ManagementProxy ObjectThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.