Intelligent System for Real-Time Traffic Recommendations

Multi-agent systems have proven to be a powerful technology for the development of large-scale distributed systems that have to deal with highly dynamic systems. The traffic and transportation systems have this feature, which makes them an excellent application area of these systems. This paper proposes a multi-agent system able to make recommendations of travel routes in real time. An agent-based hierarchical architecture analyzes the information obtained from users, open Application Programming Interfaces and social networks to get information about traffic incidents and issues, such as construction sites and traffic congestion and approximate the existing traffic flow. This information is given to an agent-based app that, supported on the preferences and needs of the user, presents recommendations of optimal routes.