The number of vehicles on the road are increasing rapidly day by day, which leads to massive road congestions and traffic deadlocks. This paper proposes a model for an algorithm-based technique for efficient resolution of road traffic deadlocks, which would work on the technologies related to the Internet of Vehicles (IoV), while keeping the safe and efficient movement of vehicles along with the maintenance of constant communication with nearby vehicles and roadside infrastructure using Vehicular Ad-hoc Networks (VANETs). This would ultimately aid towards the optimization of road traffic, which is very much a need of the hour considering the ever-increasing amount of traffic on the roads today. We make use of two important phases, namely, Deadlock Detection Phase and Deadlock Resolution Phase in order to resolve traffic deadlocks. An equally important focus has been put towards a deep understanding of the motivation behind the efforts put in this paper by examining the present scenario of road traffic conditions and their resulting complications, and how the proposed model could potentially help resolve such complications. It also involves a brief discussion on VANETs, which provides an efficient means of connecting the vehicles together in a network for seamless communications
Soft Computing Impacts in Resolving Deadlock Issues