Traffic Data Visualization Research Based On Taxi Data

Under the background of big data century, the urban traffic development is facing great challenge by accelerating urbanization process and the rapid increase of vehicle number. Accompanied by satellite technology, wireless communication technology and the rapid development of the positioning technology, there have produced a large number of real-time traffic data which including floating car data, today the real-time data acquisition technology evolved from the original driver telephone report, police report, the construction of the information to the original method of coil, as the time goes by, positioning technology is relied on radar or laser guns, so far this technology has developed into the latest methods which are floating car and handheld mobile devices to obtain the traffic data. Through the above means to obtain the traffic data which contains a large amount of information that can be applied in many important areas, such as human behavior pattern research, emergency evacuation management, urban planning, transportation and marketing, logistics, animal behavior, computational geometry and simulation analysis, through these methods, we can find hidden patterns and rules which has become the focus of information society in nowadays.Vast amounts of traffic data can perfectly show their beauty and deep only after being reasonable collection, interpretation and expression, the visualization technology is undoubtedly the most effective way to make data become kind and easy to understand, this method can find the laws of urban traffic operation based on the traffic data. Characteristics of traffic data with mass and high dimension, the analysis work is facing a lot of difficulties. Visualization technology can visually present multi-dimensional spatio-temporal track data and provide the rich interaction. The basic idea of visualization methods proposed in this paper is through a series of automatic analysis algorithm to deal with large data and make full use of brain which has visual graphic innate cognitive advantage. Combined statistical figure with intuitive visual interface map can help the user from two aspects which are macroscopic and microscopic to analyze traffic conditions. The main content of the paper is as follows:(1) Data Preprocessing. This article firstly make a preprocessing work on the GPS data and road network data. This step is dedicate for the data which are not comply with the rules and the data with efficiency. Handling of road network data through POTLACH tools for editing which is aim to eliminate related layer and repair data in the road network.(2) Map Matching and Clustering Analysis. Map matching process including the steps for trajectory which contains reconstruction, cleaning, storage, etc. Through a series of vehicle position compared with the road network of electronic map to determine the location of vehicle that relate to electrical map. Clustering analysis process through a series of process which contains filtering, screening and rules to deal with mass trajectory and then to summarize the vehicle operation rule.(3) Visual Interface Design Simulation and Result Analysis. Simulation used R language algorithm and visual interface which based on visual basic model and seven fundamental process, the trajectory data is stored in the MYSQL data table. Meanwhile, by using relevant traffic congestion evaluation standard parameters in the literature to evaluate and make a quantitative analysis for the average traffic status of the city.Proposed visualization methods in this article through a series of automatic algorithm to deal with the complex task, at the same time, this progress is emphasizing the people's function in the whole process which is the high-level task for visual processing principle, based on the above mentioned regulation, the visual interface design indeed show the traffic running situation.