Research On Collaborative Control Algorithm For Multiple Intersection Traffic Lights

It is difficult to estimate that the annual economic losses caused by the urban road congestion.In order to solve the traffic problem,many countries have invested huge human,material,financial to construct new roads,broaden the original road,build elevated or take other measures.But these measures cannot be used indefinitely because of the city land use restrictions.Compared with other developed countries in the world,the level of China's traffic control still needs to be improved,especially the synergistic control level of the urban traffic lights.Therefore,it is of great significance and practical value to study the cooperative control algorithm based on multi-intersection traffic signal,especially in alleviating urban congestion,improving road traffic efficiency,reducing frequent acceleration or deceleration of vehicles and protecting environment et al.Firstly,the traffic analysis of the multi-intersection traffic flow was analyzed by using the method of permutation and combination.The results showed that the probability of straight line of the vehicle was as high as 80.95 %,while the probability of a left turn and right turn was 9.52%,the probability of direct traffic of the vehicle at the intersection was far greater than the left turn and right turn.Secondly,a green wave control optimization algorithm based on left turn phase was proposed,taking the Wanshun Road and Lixin Road section of Gaolang Road in Wuxi City as an example.The green wave traffic in the traditional green wave control was susceptible to the impact of the waiting vehicle before the intersection,making the green wave traffic interrupted,affecting the effect of green wave control.In view of this defect,on the basis of the traditional phase difference formula,the method of reducing the phase difference was proposed according to the number of vehicles waiting in front of the queue.Then,based on the traffic condition data and results obtained from field research,the fuzzy algorithm,genetic algorithm and VISSIM traffic simulation software were used to analyze the green wave control optimization algorithm based on left turn phase.The results showed that the delay time could be reduced by 5.8%,22.4% and 16.5% respectively,and the number of stops decreases by 3.1%,14.7% and 6.7%,respectively,when the phase difference of detection section 1-3 was reduced by 3s,12 s and 3s,respectively.It was verified that the effectiveness of the green wave control optimization algorithm based on the left-left phase.Finally,the concept of vehicle speed induction based on traffic signal information sharing was proposed.And the programming and debugging of Microsoft Visual C ++ 6.0 software were used to verify the feasibility of the scheme.Then,the structure of intelligent public transportation was elaborated in detail,and the hardware of the AD machine at the core of intelligent public transportation was designed.Taking the part of the bus section of the 820 bus in Jiangning District of Nanjing as an example,the feasibility of the application of the speed induction in intelligent public transportation was expounded.