Area Vehicle Number Analysis And Visualization Based On RTMS Data

Along with the increase of vehicles ownership,the traffic problem has a serious impact on people's daily life.According to statics,China's vehicle ownership has reached 258 million in the first half of 2016.The large number of vehicle has brought serious traffic problems,such as urban congestion,parking problems and so on.In order to sole the traffic problem,many countries develop intelligent transportation system,through monitoring the traffic system,traffic data collection for analysis,research and make traffic measures.Researchers use the traffic data to do a lot of research on transportation system also.However,the existed researches focus on the road network performance,but neglect the parking problem outside the road network.However,the existing research on parking problem is limited by the data of parking space.But,the number of vehicle accumulation of an area includes both the moving vehicles and the parked one,which reflects the area traffic information more accurately.Through the accumulation of vehicles,we can analyze the operation of the road network and infer the regional parking demand.Sco,we use the accumulation of vehicles,which we defined as Area Vehicle Number(AVN),in our work.We propose an estimation method to calculate the Area Vehicle Number based on the Remote Traffic Microwave Sensor(RTMS)data.Then,we analyze the area parking demand using the Area Vehicle Number.And,we build a visualization platform based on WEB to display our traffic data and calculation results.First of all,we use Spark distributed computing platform to process massive traffic data,which can improve the efficiency of the pro-processing greatly according to the traditional tools.Then,through the analysis of the RTMS data,the weighting method of the gray model and the historical average is designed to solve the problem of missing value in the RTMS data.At the second part,we divide the whole city into different areas according to the road network.Aiming at the problem of AVN estimation,we propose a basic method to calculate the AVN based on the inflow and outflow traffic of the area.In order to correct the error caused by the basic method,we propose a partition-and-correction approach to improve the estimation accuracy.After that,we verify our design based on the real RTMS data of Hangzhou.At last,we design and build a visualization platform based on WEB to realize the display and analysis of traffic data.We display our traffic using the visualization platform,show the changes of the AVN and analyze the correction between the different data.