Intelligent Traffic Light Control System

Traffic signal systems have been employed since the early twentieth century as a method of continuously managing.

Intelligent traffic light control system.

The increase in urbanisation and traffic congestion creates an urgent need to operate our transportation systems with maximum efficiency. Traffic in a city is very much affected by traffic light controllers. They can form part of a bigger intelligent transport system. The timings of red green lights at each crossing of road will be intelligently decided based on the total traffic on all adjacent roads.

The intelligent traffic light control project pursued at utrecht university aims at diminishing waiting times before red traffic lights in a city. Several traffic management systems have been presented in the literature. Traffic light controllers outperform other fixed controllers on all studied infrastructures. While existing traffic lights are mostly operated by hand crafted rules an intelligent traffic light control system should be dynamically adjusted to real time traffic.

Atcs algorithm adjusts traffic signal timings continuously based on the traffic demand at the intersections and anticipated arrivals from adjacent intersections. Adaptive traffic control system adapts to real time traffic patterns to optimize the traffic flow by dynamically changing the green split timings. This makes the use of sensor networks along with embedded technology. There is an emerging trend of using deep reinforcement learning technique.

The intelligent traffic light control is critical for an efficient trans portation system. Intelligent traffic light control reinforcement learning multi agent sys tems mas smart infrastructures transportation research 1 introduction transportation research has the goal to optimize transportation flow of people and goods. Smart traffic lights or intelligent traffic lights are a vehicle traffic control system that combines traditional traffic lights with an array of sensors and artificial intelligence to intelligently route vehicle and pedestrian traffic. When waiting for a traffic light the driver looses time and the car uses fuel.

Relevant technologies include 4g 5g low power wide area network lpwan catering to the various end use applications that require different types of networks. For example al ani and alheeti 6 proposed an intelligent traffic light control system where cameras are connected to.