Abstract

The rise in vehicular traffic in city roads and availability of limited resources to regulate and control them are major challenges in real time traffic monitoring. The advance, evolving and best solution in Intelligent Transportation Systems (ITS) to such challenges are the traffic management application of Vehicular Adhoc Network (VANET). The application requires several information related to vehicular traffic or safety measures such as speed, traffic density, parking details etc., transmitted across the co-operative vehicles of VANET. This information can also be enumerated from different sources to ensure the backup or assurance of availability of information to improve the precision of the application. This paper proposes a Traffic Information from Collaborative Framework (TICF) that uses a novel Spatial Traffic Video Content Processing (STVCP) architecture for a VANET based application. TICF ensures the concurrent availability of information to VANET application from the most significant computer vision based infrastructure using STVCP through Common Object Request Broker Architecture (CORBA). The performance of the proposed architecture and framework are tested and analysed with simulated values of co-operative vehicles and real time traffic videos for information. The results show an improved performance of VANET application without loss of any valuable information.