MATEC Web Conf.
Volume 290, 20199th International Conference on Manufacturing Science and Education – MSE 2019 “Trends in New Industrial Revolution”
|Number of page(s)||8|
|Section||Transport Engineering and Road Vehicles, Traffic Management|
|Published online||21 August 2019|
Road Traffic Monitoring System with Self-Learning Function using the Raspberry Pi Platform
University of Petrosani, Department of Automation, Computers, Electrical Engineering and Energetics, University Street 20, Petroșani, 332006, Romania
* Corresponding author: email@example.com
This paper present principle of a traffic management and road monitoring application using the latest generation of IT and mobile telecommunication systems based on an intelligent system with self-learning function for urban traffic junctions. This system will allow automatic adjustment of green times depending on road intersections traffic. For the implementation of this IoT project, we use a Raspberry Pi, a webcam and ThingSpeak server to analyse traffic on a busy highway using image processing. With Simulink we design and deploy a traffic monitoring algorithm to the Raspberry Pi, and we analyse and visualize the traffic patterns using ThingSpeak, an IoT analytics platform. A remote road monitoring system principle is also described. This system uses modern communications equipment for periodically reading and transmitting parameters such as road temperature, humidity, wind intensity and vehicle weight using different type of sensors.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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