Autonomous vehicle density-based traffic congestion management and vehicle detection.

This work traffic light control and vehicle detection using Arduino and the IR sensor is designed to control the traffic signal by for certain time limits based on traffic in the lanes which is applicable for junctions. By using this method this would save time for people. Present day one of the serious issues is traffic congestion; therefore such systems should be moved from a manual or fixed control system to automatic control with decision making capabilities. To optimise the present-day problem, an alternate method presents the implementation of the miniature model by sensing the number of vehicles in the particular lane the time of green light can be increased, the detection of the vehicle is done by using sensors and the control action is done by microcontroller. In some cases, a lane with higher number of vehicles has a longer period of green light than a lane with a lesser number of vehicles; this can be achieved by a microcontroller and sensor. To upgrade this issue, we developed a substructure for a traffic control system in an intelligent way. Occasionally, heavy traffic at one part of a junction needs a higher time delay to green light than compared to providing timely. Therefore, redesigned a basic mechanism of the 4-way system to density-based controlling of traffic signal system in that the downtime of green and red signals are assigned in the method of the density of the vehicles present at that time. [ABSTRACT FROM AUTHOR]