Journal of Computer, Internet and Network Security ISSN: 2457-0176 (Online)

Author: Md Rakibul Hasan

Abstract: Traffic management has become one of the biggest problems due to the increase in vehicles. A manual system of traffic control is not effective for the present traffic jam situation [1]. A traffic management system utilizing the Internet of Things (IoT) and Image Processing techniques are presented in the paper. Real-time data can be analyzed using image processing in the proposed system [5][9]. Using multiple camera lanes are monitored continuously with different lanes. Analyze the obtained data from the different lanes. Using image processing, the number of vehicles in each lane can be detected and counted. Information about the count from each lane is passed to the central processing unit [6]. The algorithm determines the amount of time each lane might wait based on the number of vehicles, and then it determines the timing of the signal lights [11]. As a result, the average expectancy time is reduced, and the clearance of traffic is more efficient. Adaptive traffic management using the Internet of Things (IoT) also reduces pollution resulting from carbon dioxide (〖CO〗_2) emissions and can be helpful in emergency situations.

Keywords: Internet of Things, IoT, Embedded Systems, Road Traffic Management, Adaptive traffic management system.