Study On Optimization Method For Public Transport Network Of Small And Medium-sized Cities Based On Mobile Phone Location

With the rapid development of social economy and the construction of urbanization,small and medium-sized cities have gradually become an important foundation for China’s future development.The size and population of small and medium-sized cities have increased,and the demand for motorized travel has increased dramatically.It is urgent to adjust the bus network to optimize the service level of the public transport system and alleviate the traffic problems in small and medium-sized cities.However,the traditional residents’ travel survey has the shortcomings of long period,low sample size and high cost.It is difficult to grasp the characteristics of residents’ transportation and travel in a timely and accurate manner.It is urgent to obtain the travel data of residents quickly by other means,shorten the optimization period of the network and improve the public transport.Line network optimization efficiency.It is undoubtedly a good medicine to solve this problem by dividing the mobile phone signaling data with the traffic mode based on the superior travel distance.Based on the research on the application of mobile phone signaling at home and abroad in terms of residents’ travel characteristics,this paper summarizes the positioning offset,over-range and "noise" data in the signaling data before data processing.Preliminary filtering and screening;the basic process in data processing is to sort the data in ascending order,calculate the interval time,calculate the positioning distance and stop the area discrimination;after the data processing,the travel chain can be determined according to the parking area to determine the travel OD.This paper studies the method of dividing the distance travel mode based on the generalized travel cost,and combines with the full-mode travel OD matrix obtained by mobile phone signaling to obtain the bus travel OD required for bus line network optimization.The specific method is based on the cost of time and material consumption,and the segmentation weight selection and function fitting for short-distance and medium-long-distance travel,and the obtained function can better reflect the law of data presentation.In addition,this study did not stop the study of the probability density curve of the mode of travel,but also considered the impact of the per capita possession rate of vehicles on the choice of transportation mode in the later stage of the division.In the study,it is assumed that the bus capacity is sufficient to ensure that the optimized bus line can fully meet the passenger flow demand.In the online network optimization,a hierarchical method is adopted to ensure that the public transportation network has a clear hierarchy and clear functions.This study is based on mobile phone signaling data,combined with the advantages of general travel expenses,travel distance division method,using map analysis software Transcad to obtain bus travel matrix,replacing the traditional four-stage traffic demand forecasting method,saving time for public transport planners.,manpower,material resources and financial resources.