Abstract
The research is focused on the intelligent traffic system which is roughly based on the concepts of wireless transmission using radio frequency (RF) transmission and image processing. In the proposed system, FM receivers are fitted on traffic signals and FM transmitters are fixed on high-priority vehicles. The transmitter transmits the GPS location of a vehicle at a constant interval. On receiving the RF signal from the high-priority vehicle, the traffic signal, closest on its route, gets activated. From the received GPS location which is nearly 2 km away from the signal, the system finds out the direction and speed of the oncoming vehicle and releases the traffic on that route. The directions found by RF antenna [1] situated in the receiver. If no FM signals are received from any high-priority vehicle, then the system uses image processing [2] to find the vehicle density on each side. This is done by counting the number of vehicles in the four videos taken by a closed-circuit camera preinstalled in the traffic signal. The cameras have a range of 100 m each. An intense signal would make that side having the highest vehicular density green if and only if the vehicle number exceeds a threshold. Otherwise, the system mimics an ordinary traffic system. The system gives an accuracy of more than 91% while calculating the number of vehicles and in the other cases the error is as low as zero. The novel system simulation is achieved through CircuitMaker 2000 and MATLAB software.
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Sarkar, I., Ghosh, J., Ghosal, S.S., Deb, S. (2020). Automated Vehicle Management System Using Wireless Technology. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_18
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