Optimal Model Of Public Transport Signal Priority Control Based On GPS Trajectory

With the development of the economy,the number of private cars has grown rapidly,which has led to an overburden of urban traffic and even "paralysis." Urban traffic problems have become a critical issue that restricts urban development.In order to alleviate the pressure on urban traffic,the development of "transit priority" is essential.The development of "transit priority" will help transform the urban transportation pattern to be dominated by public transportation,supplemented by individual transportation.Therefore,improving the service level of public transportation and enhancing the attractiveness of its passenger flow are the key goals of public transportation priority.This paper mainly studies the signal priority control of buses at intersections.This article first deals with the basic processing of the GPS trajectory data of buses.The main work of trajectory data processing includes data cleaning,map matching,projection correction and so on.According to the progressed data,the research road section is intercepted and the intercepted data is further analyzed and researched on the bus operating characteristics.On the basis of data preprocessing,combined with the ARIMA model in the time series model,a prediction model of the travel time of the bus arriving at the intersection is established.Obtain the time-space relationship of the bus travel trajectory.By comparing the predicted trajectory data with the actual trajectory data,it is proved that the prediction model based on ARIMA in this paper has good applicability in the prediction model of bus travel time.Secondly,the green light time of each phase of the intersection can be effectively used as the starting point of the bus priority optimization model.Calculate the difference between the green light time of the phase and the actual green light time required by the traffic flow that randomly arrives at each phase to pass through the intersection,and use the minimum difference as the objective function to establish the minimum green light time difference model.The model takes the reliability of the bus travel time as the judgment condition of the model.The reliability of the bus travel time defined in this article is based on the probability that the travel time predicted by the ARIMA model is less than the ideal travel time.The non-bus phase non-stop passing probability is introduced into the constraint condition.Establish an optimization model of the intersection bus priority signal control.Finally,the model is solved by particle swarm algorithm.According to the solution,the basic signal timing scheme of the intersection with the smallest green light time difference is obtained,and the scheme is compared with the scheme obtained by the Webster model.The simulation experiment results show that the model established in this paper has a wide range of applications and can effectively reduce the per capita delay at intersections under the premise of ensuring public transport priority.Based on the GPS trajectory data of the bus,this paper analyzes the operating characteristics of the bus,and establishes a prediction model to predict the time when the bus arrives at the intersection based on the ARIMA model in the time series method.Considering the randomness of traffic flow arriving at intersections,using the theory and method of opportunity-constrained programming,an optimization model of bus priority signal control for single-point intersections with minimum green light time difference considering per capita delay is established.The minimum green light time difference model proposed in this paper can adapt to the volatility of the arrival rate of each entrance lane at an intersection and find the most reasonable signal timing plan.As the key phase of signal timing,the bus phase in the model can not only ensure the traffic efficiency of the intersection bus,but also optimize the overall benefits of the intersection.The model can effectively reduce the per capita delay at intersections under the premise of public transit priority.