Enhancing Urban Traffic Management Through An Internet Of Vehicles Framework

Résumé: In recent years, the large number of vehicles has led to a considerable increase in urban traffic. As a result, road traffic has become one of the major problems in most major cities. Road traffic problems are congestions and accidents resulting huge loss of time, damage to property and environmental pollution. These issues explain why many research programs around the world aim to improve our transportation systems; this is indeed a difficult task because the distributed, open, dynamic and partially controllable nature of transport networks makes it a complex area. This paper deals with the problem of managing and monitoring an intelligent transportation system, especially the urban traffic system, the aim of our contribution is limiting the nuisance caused by the increase in the use of transport. Thus, better mobility means limiting the environmental impact of the pollution generated, and improving safety and conditions of people’s life. In this paper, we provide a short review on the impact of integrating the Internet of Vehicles into intelligent transportation systems. Furthermore, we propose a network architecture-based Internet of Vehicles to efficiently manage and monitor urban traffic systems. Our proposition is based on several technologies, selected carefully, such as wireless sensor network, RFID radio identification technology, Fog/Edge computing, and Cloud Computing. Overall, the proposed architecture improves the coordination and the communication among the road network entities, leading to advanced transportation systems.

Publié dans la revue: International Journal of Automation and Safety