Real-time Data-driven Smart Traffic Light Co-operative Framework for E-SIOV Mobility Management

The Social Internet of Vehicles (SIoV) is a modern method of vehicular networking that connects specialized vehicles to share and exchange information such as traffic congestion and traffic surveillance. This study aims to establish a network of emergency SIoV (E-SIoV) vehicles that frequently communicate during their movement across intersections, reducing waiting times and average queue length. To achieve this objective, the study proposes a novel software-defined vehicular networking (SDVN) based E-SIoV framework assisted by a Smart Traffic Light Controller (STLC). In the E-SIoV network, our proposed algorithm takes centre stage, dynamically generating a lane prioritization signal, and new cycle phase duration for the smart traffic light controller, which is deployed on the SDVN-Controller (SDVNC). We also proposed maxpressure-based STLC method, which generates effective control signals following the output of the SDVNC. The proposed framework is validated using the open-source Simulation of Urban MObility (SUMO) simulator on an Indian city’s OpenStreetMap. Further, the proposed framework achieved comparative performance improvements in the interval of 26% – 37%, 11.3% – 25.2%, 36.4% – 54.2%, and 6.9% – 20.6% for various performance metrics, i.e., average waiting time, average lane speed, average queue length, and average throughput respectively.