Abstract
The paper describes an Edge of Things-based vehicle speed monitoring system that could be helpful in realizing the smart city. The IoT is a conceptual framework that includes several systems that collect information from the various environments of the traffic system. These collected data further send to the central control room by means of various access points. This whole process is controlled through a microcontroller unit (MCU). The proposed model also incorporated with a radar system that gauges vehicle speed through the installed surveillance system. Upon exceeding the speed, the vehicles can be traced with its properties like vehicle types, registration number of vehicles, and speed of the vehicle through the video or imagery data which is captured through installed cameras. These captured data further forwarded to the edge nodes for further processing and decision making. The computation or analysis work is done through the edge computing (EC). Then it stores in the cloud environment and necessary action can take by the authority. The model consists of different sensors and controllers to capture the required information.
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Acharya, B., Gupta, R., Sahoo, P.K., Rout, J.K., Ray, N. (2021). Edge of Things-Based Smart Speed Monitoring System: A Smart City Initiative. In: Mallick, P.K., Bhoi, A.K., Chae, GS., Kalita, K. (eds) Advances in Electronics, Communication and Computing. ETAEERE 2020. Lecture Notes in Electrical Engineering, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-15-8752-8_8
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