Design Lab Model to Automate Four Traffic Jams Using Image Processing


Abstract in English

This research serves the process of organizing the traffic by reducing traffic congestion, especially at peak times to a minimum, presenting an effective method is not used locally to automate traffic lights adoption concepts, image processing, controllers, communication. It is organizing image capture processes on a regular basis in all the streets leading to the traffic node, and then this image was taken to the central computer, which is processes each image by comparing them with all the pictures taken at a certain moment and based on the comparison, the Central Computer conclusion of the new chronological order to change traffic lights in all the streets then sends the new update to the controllers in each signal light which leads to re- Automatics these signals,by reducing bottlenecks to the minimum level and repeat imaging processes and modernization of signals throughout the day we can have access to a system to automate the traffic contract is close to the ideal note that by connecting traffic contract with each other and with the main central computer we can solve other problems like emergency and firefighting. Key words: a traffic node, signal processing, camera, network, processor, microcontroller.

References used

Developments in The MathWorks System Identification IFAC Proceedings Volumes, Volume 42, Issue 10, 2009.
Soille, P., Morphological Image Analysis: Principles and Applications, Springer-Verlag, 1999, pp. 170-171.

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