Gateway and floating vehicle data fusion method for road real-time speed calculation

Abstract

The invention discloses a gateway and floating vehicle data fusion method for road real-time speed calculation. The method carries out weight fusion on the real-time road speed calculated based on floating vehicle data and real-time gateway pair speed calculated based on gateway vehicle passing data. A gateway in the invention is a road monitoring point provided with a traffic monitoring device, and is used for collecting the vehicle passing data, wherein the vehicle passing data is information of vehicles passing through the gateway, the information comprising license number of each vehicle, gateway serial number and vehicle passing time; and a gateway pair is the gateways, which are physically adjacent, and can be passed through by vehicles in sequence. The method has the advantages of high accuracy, fast speed and constant real-time performance and the like, and effectively solves the problems of single data source, sparse data and not high accuracy and the like in road real-time speed calculation.

Description

technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a fusion method of bayonet and floating car data oriented to real-time road speed calculation. Background technique [0002] With the rapid development of society and economy, the per capita GDP has steadily increased, and the number of urban car ownership in my country has increased rapidly. The improvement and construction of urban basic transportation facilities cannot keep up with the rapid increase in the number of motor vehicles, resulting in slower and slower driving speeds in cities, and traffic jams can be seen everywhere. Traffic congestion is a serious problem faced by major cities around the world. With the development of science and technology, especially the introduction of intelligent transportation, intelligent traffic management systems are being established all over the world to manage and guide vehicles on the road scientifically and rationally...

AI Technical Summary

Problems solved by technology

Although the floating car data is easy to obtain and simple to calculate, the amount of data is extremely sparse, and it is a single type of vehicle (mostly taxis). The calculated real-time speed is not accurate and it is difficult to completely cover all roads in the entire city. GPS data itself There are also many errors, limited valid data, etc.

As for bayonet data, the amount of data is large and the coverage of the bayonet is wide, but the bayonet equipment is expensive and the layout density is not high, which also affects the calculation accuracy.

Images