Research On The Characteristics Of Motor Vehicle Travel In County Towns Based On Checkpoint Data

In recent years,with the rapid development of intelligent transportation technology,traffic checkpoint data has gradually been used for research such as travel OD analysis,traffic congestion analysis,and traffic flow prediction.There are two reasons for this situation,on the one hand,the recording of checkpoint data is becoming more comprehensive,automated,and refined.With the increasingly dense distribution of traffic checkpoints and the continuous improvement of license plate recognition accuracy,The storage and quality of traffic checkpoint data obtained have significantly improved;On the other hand,traffic checkpoint data not only has the advantages of comprehensive coverage of vehicle types and complete information,but also is easier to obtain in small and medium-sized cities,with higher data scale and data quality compared with GPS data,mobile signaling data.The analysis of traffic checkpoint data helps to obtain the travel characteristics of motor vehicles.By analyzing the travel characteristics of motor vehicles,it is helpful for traffic managers to better understand the traffic needs of motor vehicle travelers,providing a certain basis for the development of transportation planning schemes and traffic management measures.Firstly,this article proposes a technical process for constructing motor vehicle travel trajectories based on traffic checkpoint data:(1)The traffic checkpoint data is preprocessed,and then the motor vehicle time series is constructed in the order of license plate number and time.Then,the motor vehicle travel trajectories are split into several sub trajectories using the travel time threshold T;(2)The split sub trajectories have the phenomenon of missing midpoints.For the missing sub trajectories,a lightweight route planning model based on Baidu Map open-source data and a GIS shortest path analysis model based on Dijkstra algorithm are used to construct the trajectories,in order to obtain a complete trajectory travel chain;(3)Using the TOPSIS algorithm based on the OWA operator to evaluate the motor vehicle travel trajectory evaluation model,two trajectory construction models were evaluated.By comparing the accuracy of the conclusions of the two models and the degree of compatibility with the research content,it was found that the lightweight route planning model based on Baidu Map open-source data is more suitable for this study.Therefore,it was determined that in future research,Use a lightweight route planning model based on Baidu Maps open-source data as the trajectory construction model.Secondly,based on the research on the construction of motor vehicle travel trajectories,taking Wudi County as an example,the characteristics of morning peak commuting motor vehicle travel and motor vehicle parking in the urban area of the county are analyzed and studied.Firstly,the k-means clustering algorithm and the motor vehicle parking probability allocation model are used to identify the characteristic vehicles of two types of traffic behaviors: morning peak commuting and motor vehicle parking.Then,further research is conducted on the travel characteristics and parking characteristics of morning peak commuting motor vehicles.The traffic characteristics conclusions obtained in this chapter can provide basic support for the decision-making on traffic.Finally,this thesis summarizes the research work and achievements of the entire article,and provides prospects for future research work.