Intelligent Traffic Light Control System

Relevant technologies include 4g 5g low power wide area network lpwan catering to the various end use applications that require different types of networks.

Intelligent traffic light control system.

Traffic signal systems have been employed since the early twentieth century as a method of continuously managing. This makes the use of sensor networks along with embedded technology. Several traffic management systems have been presented in the literature. The backbone of any intelligent traffic management system is wireless connectivity throughout the city s infrastructure.

Provided with an intelligent detecting device this system can estimate the jamming condition of each road according to the length of queue of driving or stopping vehicles on each road make a best control mode using a preset program by adjusting switching order and switching time of traffic lights to adapt to the actual traffic condition thereby increasing traffic efficiency of an. Atcs algorithm adjusts traffic signal timings continuously based on the traffic demand at the intersections and anticipated arrivals from adjacent intersections. When waiting for a traffic light the driver looses time and the car uses fuel. The increase in urbanisation and traffic congestion creates an urgent need to operate our transportation systems with maximum efficiency.

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. For example al ani and alheeti 6 proposed an intelligent traffic light control system where cameras are connected to. 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. 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.

There is an emerging trend of using deep reinforcement learning technique. To make traffic light controlling more efficient we exploit the emergence of new technique called as intelligent traffic light controller. The intelligent traffic light control project pursued at utrecht university aims at diminishing waiting times before red traffic lights in a city. The timings of red green lights at each crossing of road will be intelligently decided based on the total traffic on all adjacent roads.

Adaptive traffic control system adapts to real time traffic patterns to optimize the traffic flow by dynamically changing the green split timings. Traffic light controllers outperform other fixed controllers on all studied infrastructures.