ENHANCING THE QOS FOR SPEED VIOLATION DETECTION AND REPORTING IN CLOUD BASED VANET
Ph.D – Research Scholor, Division of Computer & Information Science
Annamalai University, Chidambaram, Tamilnadu, India, Email: email@example.com
Assistant Professor, Division of Computer & Information Science, Annamalai University, Chidambaram, Tamilnadu, India, Email: firstname.lastname@example.org
Every year, car accidents claim millions of lives. Accidents frequently happen as a result of drunk driving or a vehicle travelling at a fast speed. Traditional speed-limit detection and reporting technologies are unsuitable for modern cities. Among the most advanced existingnetwork model that automate speed limit infractions with cameras or RFIDs have a number of shortcomings, including cost, difficulty, dependability, and verification. In this research, we proposed a system rely on the Internet of Vehicles (IoV) that may autonomously report speed limit infractions to the relevant authorities after being automatically alerted to them. Our systems do not necessitate any additional hardware or equipment; all that needs to be upgraded to have a completely operational system provided withIoVarchitecture is installed are the On-Board Unit (OBU), the Road Side Unit (RSU), and the Cloud Server. On the OBU, one of the systems will be implemented. Using Cloud Servers (CSs) and the IoVsignals that are transmitted by the vehicle is a second alternative system design. Additionally, highways and all roadways in modern cities would be completely surveyed, unlike the current systems put in specific locations.The developed method is analysed with traditional systemin terms of Average volume, Travel time,and Traffic congestion.