Method for extracting resident travel origin-destination matrix based on mass traffic data

A technology of traffic data and extraction method, which is applied in the field of resident travel pattern mining, can solve problems such as increasing the complexity of the algorithm, and achieve the effect of reducing the cost of data collection

Active Publication Date: 2018-06-05
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0006] 2) The vehicle trajectory data changes in real time, and different thresholds need to be set for each calculation of the OD matrix of residents, which increases the complexity of the algorithm

Method used

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  • Method for extracting resident travel origin-destination matrix based on mass traffic data
  • Method for extracting resident travel origin-destination matrix based on mass traffic data
  • Method for extracting resident travel origin-destination matrix based on mass traffic data

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with accompanying drawing. Such as figure 1 Shown, the present invention comprises the steps:

[0043] Step 1. Traffic security checkpoint monitoring equipment and electronic police equipment collect license plate images of passing vehicles. Use the image recognition algorithm to obtain the vehicle's license plate number, and upload the vehicle's license plate number, passing time and passing bayonet number to the server database.

[0044] Step 2. Since the image recognition cannot identify the license plate numbers of all passing vehicles, the license plate numbers of vehicles that cannot be recognized are recorded as unrecognized. At the same time, due to signal problems, data has been retransmitted multiple times. For the present invention, these data are invalid data. Preprocess the passing vehicle data in the server database, and eliminate unrecognized license plate numbers and duplicate vehicl...

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Abstract

The invention discloses a method for extracting a resident travel origin-destination matrix based on mass traffic data. The method comprises the steps of calculating the travel time spent by each vehicle for passing continuous checkpoints by taking the passing vehicle as a unit, and creating a checkpoint pair travel time list; performing density clustering on the vehicle passing checkpoint pair travel time list, and dividing track points of the vehicle into origin-destination track points and moving track points; traversing the track point of each vehicle again, generating OD (Origin-Destination) pairs, and combining the OD pairs to extract a resident origin-destination matrix in the whole road network. The method has the characteristics of low cost, high accuracy and the like, and overcomes defects on the aspects of cost and accuracy of a method for acquiring the OD matrix based on artificial investigation or a threshold.

Description

technical field [0001] The invention belongs to the mining of travel patterns of residents in the transportation field, and mainly utilizes a clustering algorithm based on travel time density to identify the spatio-temporal positions of starting and ending points of individual trips, so as to obtain the starting and ending point matrix of residents in the entire traffic network. Background technique [0002] With the continuous development of the economy and the improvement of residents' living standards, more and more residents choose to travel by car, followed by increasingly serious urban traffic congestion, which affects the development of urban traffic and the quality of residents' travel. The origin-destination matrix (OD matrix) is an important indicator to measure the travel status of the entire urban residents, mainly including the marking of urban hotspots, the identification of roads prone to congestion, and the analysis of distribution phenomena in residential are...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/30
CPCG06Q10/0639G06Q50/30
Inventor 李万清刘辉
Owner HANGZHOU DIANZI UNIV
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