Real-time dynamic judgment method and device for road traffic state

A real-time dynamic, road traffic technology, applied in the field of intelligent transportation, which can solve the problems of limited application scope and low discrimination accuracy.

Active Publication Date: 2014-07-02
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method and device for real-time dynamic discrimination of road traffic status, which are used to solve the

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  • Real-time dynamic judgment method and device for road traffic state
  • Real-time dynamic judgment method and device for road traffic state
  • Real-time dynamic judgment method and device for road traffic state

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Embodiment Construction

[0029] Aiming at the problems that the existing real-time dynamic discrimination method of urban road traffic state has limited applicability and relatively low discrimination accuracy, the embodiment of the present invention provides a real-time dynamic discrimination method of road traffic state, the flow of the method is as follows figure 1 As shown, the execution steps are as follows:

[0030] S10: within a set period of time, collect the Global Position System (Global Position System, GPS) information transmitted by a set number of floating vehicles in the selected geographical area in real time with a data collection cycle. The floating vehicle is driven in the selected geographical area in advance Selected from vehicles, GPS information includes collection time, geographic location information and floating vehicle identification information.

[0031] At present, many big cities experience varying degrees of congestion during peak hours such as mornings, evenings, and ho...

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Abstract

The invention discloses a real-time dynamic judgment method and device for a road traffic state. The method includes the following steps: during a set period, GPS information transmitted by a set number of floating vehicles in a selected geographic area is acquired in a real-time manner in a data acquisition period; unreasonable GPS information is screened in the acquired GPS information; geographic position points, corresponding to geographic position information included in each piece of GPS information which is reserved after the screening, are projected respectively to road segments of an electronic map corresponding to a selected geographic area; and according to acquisition times and floating-vehicle identification information, which are corresponding to the geographic position points projected to each road segment, and the length and limit speed of a corresponding road segment, the traffic state of the corresponding road segment in the set period is determined. The real-time dynamic judgment method and device are capable of covering all road segments of a selected geographic area, large in applicable scope and high in judgment precision.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method and device for real-time dynamic discrimination of urban road traffic status. Background technique [0002] In many big cities, with the surge in the number of private cars, the pressure on urban road traffic is increasing. There will be congestion in many road sections during the morning and evening peaks of weekdays and holidays. If the traffic status of each road section in the entire city can be reported in real time, Drivers can avoid congested road sections and choose unobstructed road sections, so that the congestion level of congested road sections can be effectively alleviated. [0003] At present, ground induction coils are generally installed on the main road sections of the city. The traffic flow of vehicles can be counted through the ground induction coils. When the traffic flow is greater than the congestion threshold, it is determined th...

Claims

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Application Information

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IPC IPC(8): G08G1/01
Inventor 付强秦旭彦张震玮史其信何军
Owner ZTE CORP
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