Method and system for estimating traffic state parameters

Abstract

The invention discloses a traffic state parameter estimation method and system. The method includes the following steps that: traffic data samples are acquired in real time; if the number of current traffic data samples which are acquired in a current time period is larger than a preset traffic acquisition minimum sample value, the current traffic data samples are fitted according to a preset training model, and fitted data are corrected through a correction matrix based on error ratio criterions, and estimation values of traffic state parameters can be acquired according to corrected data; and if the number of the current traffic data samples which are acquired in the current time period is not larger than the preset traffic acquisition minimum sample value, weight coefficients are set for the current traffic data samples, traffic data samples in a last time period and historical quantized data respectively, and the estimation values of the traffic state parameters can be obtained through calculation according to the current traffic data samples, the traffic data samples in the last time period, the historical quantized data and the respective weight coefficients. With the method and system of the invention adopted, the accuracy and reliability of traffic state parameter estimation can be effectively improved.

Description

technical field [0001] The invention relates to the field of traffic technology, in particular to a method and system for estimating traffic state parameters. Background technique [0002] At present, with the rapid advancement of my country's transportation modernization process, urban traffic congestion is becoming more and more serious, seriously affecting the convenience of residents' travel and economic development. In order to effectively solve the current situation of urban traffic congestion, it is necessary for the traffic management department to monitor the real-time operation status of the traffic, and to effectively and timely guide and dispatch the congested road sections found. [0003] Obtaining real-time traffic dynamic status information of urban roads is an important basis for solving urban congestion problems. Currently, traffic dynamic information collection methods mainly include: fixed-point traffic information collection and mobile traffic information...

AI Technical Summary

Problems solved by technology

However, this algorithm needs to determine the parameters and weight coefficients according to the actual traffic environment, so there is a problem of parameter and coefficient estimation errors

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