Abstract

The current traffic control system (TCS) is not the most efficient system present for regulating traffic. Hoping to solve this we come up with dynamic data recording systems which encompasses of RFID tag and reader. The traffic density at each lane is calculated based on count of RFID’s apprehended.

Highlights

  • Driving in India has been governed by various legal powers and in a few cases, it is a subject to the passing of a driving test

  • The existing traffic control system works using a round robin rule of 30 seconds which causes a lot of vehicular congestion

  • The Radio Frequency Identification (RFID) tags are read from the vehicles and the signal to go is assigned in a round robin method from 15 seconds to 70 seconds

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Summary

Introduction

Driving in India has been governed by various legal powers and in a few cases, it is a subject to the passing of a driving test. The existing traffic control system works using a round robin rule of 30 seconds which causes a lot of vehicular congestion This leads to the problem of traffic in lanes causing the obstruction of ambulances, and fire engines. The RFID tags are read from the vehicles and the signal to go is assigned in a round robin method (clockwise) from 15 seconds to 70 seconds This reduces the time allocation for lanes without any vehicles and reduces the usage of electricity. [13] The time taken by these vehicles to pass the signals is most important as they are dispatched to save lives This backtracking round robin method changes the signal to GO immediately when the active RFID tag is read in any lane irrespective of which lane GO signal has at present. This unsupervised method reduced the human workload and increases productivity immensely. [2]

Reading of the vehicles
Implementation of the Sensors
Machine Learning
Efficiency
Working of The Sensor
Models and Explanation

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