Calculation method of road congestion based on geomagnetic equipment

Abstract

The invention discloses a road congestion status calculating method based on geomagnetic devices. The method comprises following steps of: laying geomagnetic devices in each lane on a road, wherein the geomagnetic devices acquire vehicle state information on the road in real time and transmit the vehicle state information to a database in a wireless communication manner; calculating, by using a server, a road-occupying ratio of the road within a certain time according to the vehicle state information received by the database; comparing the road-occupying ratio of the road within the certain time with a congestion index Y and a unblocked index C, and obtaining a road status according to a comparison result; and releasing the obtained road status in a guide screen which displays pass states in different colors. The method may fast and accurately acquire the congestion status.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for calculating road congestion conditions based on geomagnetic equipment. Background technique [0002] With the rapid development of my country's economy, the number of motor vehicles is increasing rapidly, the impact of transportation on people is increasing day by day, the problems of road traffic are also increasing, and the situation of urban traffic congestion is increasing day by day. In order to improve In this situation, the urban traffic comprehensive management platform system has been introduced. By releasing the information on the guidance screen, people can keep abreast of the road congestion situation at any time, and how to collect road information in a timely and effective manner, and obtain the congestion algorithm feedback to the comprehensive management platform. Particularly important. [0003] In the existing algorithms, indicators such as traffic flo...

AI Technical Summary

Problems solved by technology

[0003] In the existing algorithms, indicators such as traffic flow, driving speed or queue length are often used to obtain congestion conditions, but existing algorithms have defects and one-sidedness; when calculating according to traffic flow, if the road is very congested or very smooth, it is rare When there are vehicles passing by, the traffic flow will be very small, and the congestion situation cannot be accurately judged; according to the speed of the vehicle, the conclusion of the congestion is not accurate; if the congestion degree is calculated according to the queue length, it will be affected by the traffic lights; Therefore, it is difficult for the existing algorithms to accurately obtain the congestion situation.

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