Traffic flow estimation method based on network charging data of highway

A technology of expressway network and expressway, applied in the field of intelligent transportation, to achieve the effect of low cost, high data quality and low cost

Inactive Publication Date: 2017-01-11
PEKING UNIV
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Problems solved by technology

However, there is still a lack of effective methods for estimating rea

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  • Traffic flow estimation method based on network charging data of highway
  • Traffic flow estimation method based on network charging data of highway
  • Traffic flow estimation method based on network charging data of highway

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Embodiment Construction

[0037] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0038] The invention provides a method for estimating traffic flow based on expressway networking toll data, figure 1It is the overall flow chart of the method provided by the present invention. Based on the historical expressway network toll data, the method first estimates the traffic flow of each road section on the road network at different time periods in history; then obtains the toll data of all vehicles that have left the expressway network , to analyze the distribution pattern of traffic flow at each entrance of the road network in the past several time periods; and then complete the estimation of the real-time traffic flow of the expressway network based on the position and time of all current vehicles entering the road network entrance, which specifically includes the following steps:

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Abstract

The invention discloses a traffic flow estimation method based on the network charging data of a highway. The method is conducted based on the historical network charging data of the highway. The method comprises the steps of firstly, estimating to obtain the traffic flow of each road section of a road network within each of different time periods in history; analyzing to obtain the distribution mode of the traffic flow at each inlet of the road network within a plurality of time periods in the past; based on the position and the time for each of all current in-transit vehicles to enter the road network, completing the estimation on the real-time traffic flow of the highway road network. According to the method for extracting the distribution mode of the traffic flow, the contribution rate of one O relative to the D within a time period t is recorded as COD, and the stability mode of the COD is measured based on the information entropy so as to obtain the distribution mode of the traffic flow. The method is low in cost and can cover the entire road network. Meanwhile, the method has the advantages of all-weather operation, high data quality and the like. The estimation problem of the traffic flow for the highway road network is solved without any additional hardware cost. Therefore, the method serves as an effective means and a beneficial supplement for monitoring the traffic flow of the road network in the prior art.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and relates to a method for estimating real-time road network traffic flow according to expressway networking toll data. Background technique [0002] With the rapid development of our country's economy, the development of highway traffic and the improvement of management efficiency have become very important. Effective and accurate inversion and estimation of traffic flow in expressway network is the basis for improving expressway operation management level and service quality. [0003] Existing methods for estimating traffic flow on high-speed road networks mainly rely on various traffic detectors, such as video, microwave, coil, GPS, audio, etc. On the one hand, the installation of all these devices requires a high cost, which brings a heavy economic burden to the owners of the expressway. At the same time, it is difficult to achieve seamless coverage of the entire road net...

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Application Information

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IPC IPC(8): G08G1/01
Inventor 宋国杰谢昆青聂鑫维
Owner PEKING UNIV
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