Qualitative fusion-based traffic signal preemption

Using Intelligent Transportation Systems to provide emergency vehicles a green light at intersections can reduce driver confusion, reduce conflicts, and improve emergency response times. Nowadays, the technology of wireless sensor networks can solve many problems and can offer a good management of the crossroad. In this paper, we develop a new approach based on the technique of clustering and the graphical possibilistic fusion modeling. So, the proposed model is elaborated in three phases. The first one consists to decompose the environment into clusters, following by the local fusion performed inside the cluster then a global fusion is applied at level of head clusters. Finally, we will show some experimental results that proves the efficiency of our proposed approach.