Cluster-Based Vehicle Routing on Road Segments in Dematerialised Traffic Infrastructures

Abstract

The structure and composition of the worldwide mobility infrastructure is growing exponentially and urgently needs to reduce the emission of carbon dioxide gas, to decrease the growing of traffic jam, to limit the over-abundancy traffic signs, and to improve the interoperability of traffic sign between different countries. First, this paper proposes a new mobility paradigm to organize in a global way the mobility based on three arising technology characteristics: high-performance computing efficiency, geo-positioning accuracy and 5G technology. Second, the paper proposes a cluster based approach for managing the mobility of (autonomous-)vehicles in the frame of that new paradigm and propose a set of usage scenarios. Finally, some basic tool are presented in order to implement machine learning based clustering step of the approach.