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A method for estimating od position and od matrix of traffic flow

A technology of traffic flow and traffic flow, applied in the field of traffic management, can solve problems such as low accuracy and large subjective influence, and achieve the effect of avoiding tediousness and traffic congestion

Active Publication Date: 2018-04-10
HANGZHOU ZCITS TECH
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AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the OD position estimation of the existing traffic flow is subject to the subjective influence and the accuracy is low, the present invention proposes a method for estimating the OD position and OD matrix of the traffic flow. OD Matrix Model in Different Periods of Road Network

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  • A method for estimating od position and od matrix of traffic flow
  • A method for estimating od position and od matrix of traffic flow
  • A method for estimating od position and od matrix of traffic flow

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Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0032] Such as figure 1 As shown, a method for estimating OD position and OD matrix of traffic flow, specifically includes the following steps:

[0033] S1, Obtain historical traffic flow: select a group of road networks consisting of N intersections, each intersection is connected by n road sections, N and n are natural numbers, and obtain historical traffic flow data of the road network within 24 hours S.

[0034] S2, cluster analysis: based on the historical traffic flow data S of the highway network within 24 hours, the traffic flow data of each road section constitutes a characteristic data group, and cluster analysis is performed on the characteristic data group to obtain k classes and k The traffic flow in different time periods is denoted as S 1 to S k , k is a natural number and 1≤k≤24. The K-means clustering algorithm can be use...

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Abstract

The invention proposes a method for estimating an OD position and an OD matrix by means of traffic flows. The method comprises the steps of: acquiring a historical traffic flow; selecting a group of highway networks formed by N crossroads, and acquiring historical traffic flow data S of the highway network within 24 hours; carrying out clustering analysis; taking the historical traffic flow data S of the highway network within 24 hours as a basis, wherein traffic flow data of each road section forms a feature data group, and carrying out clustering analysis on the feature data groups; setting an OD point; and estimating an OD matrix. The method provided by the invention avoids tedious working procedures, has the advantages of convenience, flexibility and accuracy, simulates road conditions at different time periods in real time, can be applied to systems such as traffic simulation, travel analysis and the like, and can effectively avoid traffic congestion and other problems.

Description

technical field [0001] The invention relates to traffic management technology, in particular to a method for estimating OD position and OD matrix of traffic flow. Background technique [0002] Many existing traffic OD estimation schemes are inflexible, because the OD estimation scheme needs to be obtained through a large number of traffic questionnaires or long-term observation of traffic road conditions in the early stage. More subjective judgments affect the accuracy of the results. Contents of the invention [0003] In order to solve the problem that the OD position estimation of the existing traffic flow is subject to the subjective influence and the accuracy is low, the present invention proposes a method for estimating the OD position and OD matrix of the traffic flow. OD matrix model in different time periods in the road network. [0004] The technical scheme adopted in the present invention is: a kind of method that traffic flow estimates OD position and OD matri...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0104
Inventor 张登李冰
Owner HANGZHOU ZCITS TECH
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