Study On Excavation And Spatial Activity Characteristics Of Urban Passenger Hotspots From The Taxi Trajectory Data

City taxi as an important part of the city's comprehensive transportation system,in the residents travel activities is one of the indispensable means of transport.The all-weather operation of the taxi,the real-time data,the running route and the time autonomy determine the taxi's trajectory data to reflect the travel time and commute behavior of the residents well.This paper will use the taxi trajectory data to carry out the excavation of the hotspot area and the study of the spatial activity of the region.Based on the data of taxi trajectories,this paper constructs the semantic model of trajectory data for more accurate reaction law.The database is used to judge the taxiing point of the car,and the law of taxi travel from two aspects: total statistics and time ranking To analyze.Using the Python language as a technical support,calculate the most suitable distance and the number of points in the hotspot area of the taxi,as the basis for the next step.Firstly,based on the characteristics of the clustering data of the taxi trajectory,the density-based classification model is constructed,and the hotspot area map of the passenger car is obtained.Secondly,the dynamic model of the passenger car is calculated by the clustering method of spatial data mining.Time-bending model is used as the theoretical basis to extract the eigenvalues of all the time-series data in the hotspot area of the taxi.Then,in order to classify the eigenvalues of the time series data,the hotspot area is classified into a hotspot area,and finally,the hotspot area is visualized to show the spatial activity rules of each type of area on the map.Taking the example of Xi'an as an example,the trajectory data is input into the edited program to analyze the data,calculate the hotspot area of the taxi in Xi'an,and extract the characteristic value of the sequence of the time series in each passenger hot spot area.The paper analyzes the passenger hotspot area by combining with the POI information of the urban bus,and analyzes the travel volume of the taxi as a supplement to the urban public transport system,so as to excavate the shortcomings of the bus station distribution,Urban comprehensive transportation system to improve and manage to provide practical basis.