Method of obtaining traffic road information based on low-precision GPS data

Abstract

The invention provides a method for obtaining traffic road information based on low-precision GPS data, and the method is used for solving the technical problem in the prior art that the cost is high and the data timeliness is low. The method comprises the following steps of: iterating optimal center separating lines of low-precision GPS data points on a traffic road whose road information is known; calculating the distance vectors of the low-precision GPS data point on the road to the optimal center separating lines; iterating an optimal distance vector confidence interval of the low-precision GPS data points on the road; utilizing a distance vector variance to establish a road width discrete function; and utilizing the optimal distance vector confidence interval and the road width discrete function to calculated the gradient and width of a traffic road whose road information is unknown. According to the invention, the quasi Gaussian distribution, symmetric distribution and error characteristics of the low-precision GPS data are utilized, the traffic road information is extracted, the cost is low, the timeliness of information obtaining is high, and the method can be sued for obtaining the high-timeliness traffic road information within a short time period with low cost.

Description

technical field [0001] The invention belongs to the field of traffic information control, and relates to a method for obtaining traffic road information, in particular to a method for obtaining traffic road information based on low-precision GPS data, which can be used to obtain traffic road information at low cost in a relatively short period of time. Background technique [0002] Traffic road information is an essential data material for research work in the field of transportation. It needs to be able to accurately describe the road topology and road width. Accurate traffic road information is a prerequisite for studying traffic characteristics such as vehicle distribution, vehicle density, node degree, and regional connectivity. Traditional traffic road information is obtained through ground measurement, usually using laser sensors, vision systems, and special data acquisition vehicles to collect traffic road original information, and then integrate the collected traffic...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a method for obtaining traffic road information based on low-precision GPS data, which is used to solve the technical problems of high cost and low data timeliness existing in the prior art

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