Controlling of Traffic Lights Using RFID Technology and Neural Network

Abstract:

In this paper, the new technology of RDIF (Radio Frequency Identification) has been used in order to identify vehicles and also 3 significant parameters including the average speed of vehicles at any side of access point, the average time for waiting and the queue length. They have been used based on the data from neural network for making the best decision throughout the process of finding out duration of the cycle and percentage of green time for each of the access point. Implementation of this system is possible in the shortest time and it has a better function in any kind of weather condition, time or place compared to similar systems.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 740-745
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.740
• Online since: January 2012
• Authors: Sasan Mohammadi, Abolfazl Rajabi, Mostafa Tavassoli
• Keywords: Anticipating Traffic, Decision Making Parameters, Neural Network (NN), Traffic Control

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