Intelligent Traffic Systems (ITS) management plays an important role in modern transportation systems. An important area in ITS research is the development of traffic monitoring systems that collect traffic information such as vehicle counting, speed measurements, and vehicle classification. This information allows for developing smart transportation systems that take into consideration the current traffic state in order to generate smart decisions. In this paper, we developed a Wireless Sensor Network (WSN) application for vehicle counting, vehicle classification, and speed measurement based on roadside magnetic sensors. Magnetic sensors can be deployed on the roadside to collect traffic data. Then, the data can be communicated using wireless channels to a central computer to be processed and analyzed. The traffic data will be saved in a database and can be shared with other transportation applications through the use of web services. This approach has many advantages includes real-time traffic monitoring, ensures proper monitoring of the roads, and requires less human intervention. The focus of this paper is on the development of the wireless sensor network and traffic data management. Simulated data is used to evaluate the system instead of deploying magnetic sensors. The software implementation of this paper is available at https://github.com/FadiHaq/WSN_TrafficMonitoring.

Conference Title

International Conference on Promising Electronic Technologies (ICPET)

Conference Country

Palestine

Conference Date

Dec. 16, 2020 - Dec. 17, 2020

Conference Sponsor

IEEE

Additional Info

Conference Website