Due to the population increase all over the world current road infrastructures are unable to keep up with the escalating transportation demands. This situation where travel demands exceeds the capacity of the transportation network is known as traffic congestion. However, it is impractical to build more roads and infrastructure to accommodate these demands. Governments are increasingly recognizing the importance of traffic control tools, such as Closed Circuit Television (CCTV) systems as a feasible solution to mitigate the traffic congestion problem. CCTV systems are deployed across city centres, motorways, trunk roads, car parks etc., to collect diverse data on large regions where manual observation can be difficult, problematic or unfeasible. By processing this data, which contains video images of traffic parameters, useful information can be extracted, including speed, traffic composition, vehicle shapes, vehicle types, vehicle identification numbers and occurrences of traffic violations or road accidents.
This paper reviews different approaches to utilize CCTV systems for traffic management of Vehicles. It highlights existing architectural, deployment models, and various approaches to analyse generated traffic data. The objective is to provide a clear background that can help in any related future research.