Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks

Traffic congestion is common in heavily populated cities. In this paper, we introduce a novel protocol to guide vehicles to their destinations while managing congestion and avoiding deadlock situations in urban city grids. The protocol relies on vehicle-to-infrastructure (V2I) communication, infrastructure-to-infrastructure (I2I) communication as well as GPS information to disseminate congestion information to city grid intersections. Our proposal pro-actively aims at avoiding congestion scenarios and reacts to arising congestion in case it happens due to unpredictable events such as collisions. Simulation results reveal that vehicles enjoy reduced travel times even during rush hours and in the presence of collisions.