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Intelligent traffic congestion drainage method based on geomagnetic information

A technology of intelligent transportation and geomagnetism, applied in the field of intelligent transportation, to achieve the effect of convenient regular maintenance, easy replacement and convenient installation

Inactive Publication Date: 2017-03-22
NANJING UNIV OF SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods can play a positive role in reducing road network traffic congestion in a short period of time, but they cannot fundamentally solve the problem of urban traffic congestion.

Method used

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  • Intelligent traffic congestion drainage method based on geomagnetic information
  • Intelligent traffic congestion drainage method based on geomagnetic information
  • Intelligent traffic congestion drainage method based on geomagnetic information

Examples

Experimental program
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Embodiment 1

[0044] Such as figure 1 As shown in , a schematic diagram of vehicle speed measurement node layout based on the speed measurement method based on geomagnetic sensing is given, and the specific steps are as follows:

[0045] Step 1: Arrange two terminal nodes with the same orientation on the R section of the same lane of the road. The distance between the two nodes is known as L. Such a pair of nodes is called a group. In order to improve the accuracy of detection, at the same time on the lane Arrange a second set of terminal nodes with an orientation opposite to the first set.

[0046] Step 2: The geomagnetic sensor uses the fixed threshold method to detect the passing of the vehicle. A fixed geomagnetic field strength is set as a threshold. When the detected magnetic field strength changes and exceeds the threshold continuously, the vehicle is considered to arrive; when the magnetic field strength changes and is continuously smaller than the threshold, the vehicle is conside...

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PUM

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Abstract

The invention discloses an intelligent traffic congestion drainage method based on geomagnetic information. The method comprises the following steps: 1, measuring an average driving speed vR of an automobile in a road R by use of a geometric sensor; 2, sending the measured average vehicle speed vR in the road R to a signal lamp controller of an upstream crossroad through a wireless sensing network; and 3, assuming that a vehicle average driving speed on the road R in one day under a normal condition is v, the signal lamp controller adjusting a signal lamp of the upstream crossroad through comparing vR with v so as to realize traffic congestion drainage. According to the invention, the method can improve city traffic conditions and avoid traffic congestion and road obstruction, improves the pass capability and the operation efficiency of a road network and promotes coordinated development between city traffic and city construction.

Description

technical field [0001] The invention relates to the field of intelligent traffic, in particular to an intelligent traffic congestion drainage method based on geomagnetic information. Background technique [0002] In recent years, the development of my country's national economy and the acceleration of urbanization have promoted the improvement of the living standards of our people. At the same time, the number of motor vehicles has also increased sharply, and the lack of road capacity has led to more and more prominent contradictions in traffic congestion. In the face of serious traffic congestion problems in cities, the traditional approach is to repair and expand roads and road networks, overpasses and rail transit in cities to improve the hardware conditions of urban traffic, including increasing the total length of roads and widening road widths. But only using this solution, its disadvantages are also obvious, long construction period, high investment cost, difficult to...

Claims

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Application Information

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IPC IPC(8): G08G1/08G08G1/042G08G1/052
CPCG08G1/08G08G1/042G08G1/052
Inventor 李建妹李千目戚湧王印海
Owner NANJING UNIV OF SCI & TECH
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