Research On The Algorithm Of Intelligent Traffic Traffic Lights Based On Fog Computing

In today's era,no matter in big cities or small cities,the daily rush hour is usually traffic paralysis,which brings irreparable pollution and a lot of waste of resources to our current life.Because of the large amount of dynamic traffic flow data,the effective management of traffic lights is a huge challenge.The world is facing many problems,the most important of which is traffic jams.People have studied the traffic congestion in the world,especially in urban areas,in order to study the intelligent transportation system(ITS)more effectively.However,many of its security problems are growing,and most existing frameworks provide security services for them.The development of intelligent transportation system is a challenge,the main purpose of which is to improve the working efficiency of traffic lights to reduce the environmental pollution caused by urban traffic jams and vehicle exhaust emissions.Intelligent traffic light control system affects the whole traffic.The main purpose of these traffic lights is to improve the safety of vehicles when crossing the road by dispatching conflicting traffic flows.Current in the big data in intelligent traffic system mostly USES the genetic algorithm and fuzzy control algorithm,due to the safety and accuracy of these algorithms,in order to address these challenges,we conducted based on fog computing(cisco puts forward a new technology,the user use the edge of a lot of clients or equipment to perform the operation of the computing and storage)of intelligent traffic light control algorithm research,dynamic and efficient traffic scheduling algorithm.The difficulty of the CDH problem and the hash collision puzzle are the basis of this scheme.Both scenarios assume that the traffic lights are foggers.The first scheme is based on the fog calculation of the CDH problem puzzle,in which nearby vehicles can acquire certain difficult puzzles generated by traffic lights through location-based encryption.When vehicle density is high,especially when emergency vehicles exist,it is necessary to select the most effective and appropriate time cycle to realize the smooth passage of emergency vehicles under various emergency scenarios and the safe and effective passage of other vehicles through intersections.At this time,this method based on CDH problem puzzle cannot efficiently process traffic flow information.Second based on the hash collision riddle fog higher computational efficiency,nearby vehicles you just need to get from the traffic light produced by a puzzle based on hash collision problem,the calculation of traffic light intersection traffic vehicle parameters,and the surrounding traffic,and intersection of intelligent control of traffic lights,so that improve the efficiency of each intersection traffic to improve the traffic flow of the entire transportation network,server friendly is fog.Through algorithm analysis,the second fog calculation scheme based on hash collision puzzle solves the data processing efficiency of the first scheme under the condition of dense vehicles,realizes the minimum delay and improves the traffic efficiency.