Research On Taxi Recommendation Based On Taxi Trajectory For Driver And Passenger

Transportation is the necessary part in production,life and economic development.With the development of the science and technology,people have a strong dependence on traffic but also put forward more demand for traffic.The existing transport system has provided a convenient transport service,but still can't meet the traffic needs.Taxis are an important part of urban transport,especially when the public transport outage to bear a lot of traffic tasks.Reasonable allocation of taxi resources to optimize urban transport,solve the contradiction between people and vehicles is very important.At the same time,the popularity of mobile devices and the development of positioning technology,the equipment can record the movement of people and objects in detail and generate a large number of trajectory data,making it possible to carry out research and analysis based on taxi trajectory data.The current taxi system recommended just consider the trajectory of taxi,in fact,taxi affected by many factors.Based on the taxi trajectory data,the urban traffic model and the taxi source model,this paper proposes and constructs the recommendation coefficient of taxi.Based on this,the recommendation prototype system is constructed,and the taxi and the passenger are recommended.The main research contents are as follows.(1)Research on Urban Traffic Model Based on Taxi Trajectory:The paper first studies the existing urban traffic quantification index,analyzes its research object,input factor,output index and so on.After analyzing and comparing the advantages and disadvantages of each index,and finally selecting the INRIX index as the quantitative index of road conditions of this study,this paper puts forward the rapid discriminant method and abnormal correction method of road condition abnormality,and takes the early peak of Fuzhou as an example to analyze the city road.(2)Research on the Spatial and Temporal Distribution of Urban Taxi Travel Based on Taxi Trajectory:Based on the taxi trajectory data,recording the change of the taxi loading status and the location passengers on and off.Then,the model of urban taxi tourists is studied,and the improved model is proposed based on the research object and vehicle dynamic consumption.Finally,the spatial and temporal distribution of the passenger source is analyzed based on the improved model.(3)Proposed and built a taxi recommendation factor:first study the existing taxi recommended method,analysis its advantages and disadvantages.Then,analyzing the factors that affect the location that taxi waiting for passenger and the location that passenger waiting for taxi.Finally,combined with urban traffic conditions,the emergence of urban taxi and the law of source to propose and built a taxi recommendation coefficient.(4)Urban Taxi Recommendation System Based on Taxi Trajectory Data:Based on the data collection and analysis,the trajectory database is constructed.Design and built the subsystem for preprocessing of the taxi trajectory data and the extraction calculation of taxi basic operational indicators.Taxi recommendation system to achieve the historical track query module and recommended module.The history query module provides a historical trajectory,a historical drop-off query function.The recommended module is based on the recommended coefficient for the taxi and taxi passengers recommended the optimal section.