Method and system for acquiring traffic conditions of motor vehicles on the roads in real time

Abstract

The invention provides a method and system for acquiring traffic conditions of motor vehicles on the roads in real time and belongs to the field of traffic informationization. The method comprises steps that a vehicular terminal on a motor vehicle positions the motor vehicle in real time and uploads positioning information and identity information to a server; the server processes the positioning information of the motor vehicle to obtain road condition information, and acquires the source of the positioning information of the motor vehicle according to the identity information, wherein the vehicular terminal is a vehicular system having positioning and communication functions or an equipment combination in which a mobile smart terminal and a vehicular positioning trigger cooperate to operate. According to the method and the system, acquired traffic data completely originates from the vehicular terminal on the motor vehicle; and the uploaded data includes the identity information such that it is easy for the server to know which identity supplies the data. The method and the system do not depend on other external systems or resources, prevent a long complex process of analyzing, converting, and integrating different types of data from different systems and errors in manual analysis and judgment, and guarantee the realtimeness and accuracy of the road conditions.

Description

technical field [0001] The invention relates to the technical field of traffic informationization, in particular to a system for collecting real-time motor vehicle traffic conditions on roads. Background technique [0002] With the development of the economy and the improvement of people's living standards, the number of cars has also increased rapidly, followed by road congestion and reduced travel efficiency. If the real-time traffic flow status of the road can be grasped, motor vehicle users can arrange reasonable travel opportunities and routes before or during travel, which will greatly improve travel efficiency, avoid the occurrence and expansion of congestion, and reduce the resulting economic losses. loss. [0003] The current road traffic information collection methods mainly include camera video detection, ground sensing coil detection, floating vehicles equipped with global positioning systems, etc., but these methods are limited by factors such as equipment dist...

AI Technical Summary

Problems solved by technology

However, this solution does not directly confirm that the mobile smart terminal is located on the motor vehicle during driving, but indirectly identifies the carrier type of the mobile smart terminal through the identification and classification of information collected by the terminal. Due to the existence of manual analysis factors, there are inevitably errors. rate, and it requires enough training samples and a well-designed model, so it is difficult and costly to implement

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