Proactive platooning based on C-V2X to relieve congestion at a signalized intersection

Nowadays urban traffic congestion becomes a major issue due to the increase in vehicles that lead to more commuting time, accidents, traffic violations, and high fuel consumption. Platooning is a good way to solve traffic congestion because it drives with a smaller inter-vehicle distance than human-driving. This paper proposes proactive platooning based on C-V2X (cellular vehicle-to-everything) to relieve congestion. Proactive platooning reduces the inter-vehicle distance and increases the throughput of signalized intersections through integrating the networked control platooning and computation-centralized platooning. Model and simulation experiments of proactive platooning were conducted to verify the impact of inter-vehicle distance on platooning latency, platooning safety, and traffic throughput. Simulation results show that the optimal inter-vehicle distance under proactive platooning is less than half of human-driving at a signalized intersection.