Research On Key Technologies And System Development Of Time Division Multiplexing Strategy For Bus Lanes

With the development of society,the contradiction between the rapid growth of urban residents' traffic demand and the limited traffic road resources is becoming increasingly acute.Vigorously developing public transport is the key measure to alleviate the contradiction among traffic,energy and environment in the city.In order to effectively implement the policy of public transport priority,many cities in our country have divided a lane in the road for the use of buses,but the bus lane occupies part of the road resources,and there are periodic idle phenomenon,resulting in the waste of urban road resources.The time-division multiplexing strategy of bus lane can improve the efficiency of road resources in bus lane without affecting the principle of bus priority.Based on the research of the bus lane time-division multiplexing strategy,this paper further explores the data preprocessing method,bus arrival time prediction,bus lane opening conditions and other key technologies needed in its operation process;then,the bus lane time-division multiplexing control management system is developed to realize the dynamic application of the bus time-division multiplexing strategy.The main research work is as follows:(1)Research on multi-source data acquisition and preprocessing methods: firstly,feature analysis and data extraction are carried out according to the original multisource traffic data,then the KNN feature matching strategy and hidden Markov model are used to match the original data in time and space,and the corresponding preprocessing methods are used to eliminate the data error difference and impute the missing data;finally,the multi-source data preprocessing method is verified by an example The validity of this method provides the data base for the next step of TDM strategy calculation.(2)Research on bus arrival time prediction: according to the characteristics of vehicle arrival time prediction,a D-S evidence theory Gaussian process regression(DSGPR)model is constructed.Firstly,the influencing factors of bus arrival time are analyzed,and then the super parameter set of the model is obtained through the training of historical fusion data.Finally,the global trust degree is allocated to the regression output distribution of Gaussian process by D-S evidence theory,and the optimal predictive output value of the current time trust degree is obtained.Finally,the prediction performance of the DS-GPR model is compared with that of the TDM model,which proves that the DS-GPR model has good prediction performance and good adaptability to the TDM strategy.(3)Analysis and Research on the open density window of bus lane: according to the characteristics of mixed traffic flow,combined with the BPR(Bureau of Public Road)model,the standardized density of buses and social vehicles is defined;then,according to the standardized density of the road section,the Edie model is used to optimize the traffic wave theory,and the optimized ETW(Edie traffic)is established wave model,the parameters of which are localized and calibrated,and the accuracy of the model is verified by an example.Finally,according to the calculation results of the optimized ETW model,combined with the bus driving state data and road section gain information,the open density window of the bus lane is obtained,and the intelligent control method of the bus lane is developed.(4)Research and application of TDM control and management system of bus lane: firstly,analyze the demand of system operation,design and develop the TDM control and management system of bus lane based on client server(C/S)architecture,realize real-time monitoring and analysis of road and vehicle information,calculation and analysis of TDM strategy,information control of variable information board and data management query Then,the actual road test is carried out to show the coordinated operation process between the various modules of the system,which verifies the feasibility and stability of the system operation,and shows that the system can meet the application requirements of the bus lane time division multiplexing strategy.