Dynamic od matrix estimation method based on automatic vehicle identification equipment

A matrix estimation and vehicle technology, applied in traffic control systems, instruments, traffic control systems of road vehicles, etc., can solve problems such as excessive dependence on prior information and insufficient depth of AVI information mining

Active Publication Date: 2011-12-21
TONGJI UNIV
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  • Description
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AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to address the deficiencies in the research and technology of the traditional dynamic OD matrix estimation method, especially the problem of insufficient

Method used

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  • Dynamic od matrix estimation method based on automatic vehicle identification equipment
  • Dynamic od matrix estimation method based on automatic vehicle identification equipment
  • Dynamic od matrix estimation method based on automatic vehicle identification equipment

Examples

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Embodiment 1

[0070] Example 1: This estimation method is used for use image 3 The speed road system shown in a certain place has a total of 17 entrances and 9 broken AVI devices. Among them, the number of OD pairs that can be detected by the AVI facilities is 216, which accounts for the number of OD pairs.74.74%.Equipment input required: AVI video detector is set on the cross section or ramp entrance.Required to get input information: identified vehicle license plate information, vehicle reaches, AVI detectors number.

[0071] After obtaining the above input information, take the path of the data of a semi -known vehicle data as an example. figure 2 Fix the driving path of any vehicle, the steps are as follows:

[0072] (1) When the vehicle known as the vehicle license is A, the vehicle is numbered to AVI by numbered AVI 1 And AVI 4 In the case, you can get the arrival time of the vehicle A in these two sets of detectors 1 T 4 EssenceAnd according to the topology structure of the road network,...

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Abstract

The invention belongs to the field of traffic plan and management, in particular relating to a dynamic OD (Origin Destination) matrix estimating method based on an AVI (Automatic Vehicle Identification) device. The method comprises the following steps of: introducing a part of path information detected through AVI, dynamic travel time information and detector measurability criterion; performing lost path range determination and selection probability modification on the path-lost vehicle information according to a Bayes estimation algorithm firstly; simulating any vehicle by utilizing monte carlo random simulation and selecting lost paths so as to obtain an initially modified OD matrix based on a part of path of an individual vehicle; and finally correcting the initially modified OD matrixby utilizing the flow information of the AVI detection to obtain a final OD matrix estimation value. Through the method disclosed by the invention, the defects that the dependency on the priori information is high and aspects, such as detection precision and the like, are never considered because the road section flow and the travel time information are only considered in the traditional method can be overcome.

Description

Technical field [0001] The present invention is a transportation planning and management field, and it involves a dynamic OD matrix estimate based on automotive automatic identification equipment. Background technique [0002] The OD matrix of the vehicle travel is the core basic information of the traffic system planning, design and operation management.The accuracy of OD information directly affects the accurate judgment of urban traffic managers and traffic planning engineering and technical personnel on the status quo of traffic and future traffic. Therefore, it will directly affect the effectiveness of traffic management measures and the rationality of traffic planning.Therefore, the precise OD matrix is essential for the final decision and basis of urban traffic managers and urban traffic planners. [0003] The OD matrix of the vehicle travel is a set of mathematical matrix that describes any vehicles in the traffic network from the starting point. It directly reflects the ...

Claims

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Application Information

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IPC IPC(8): G08G1/00G08G1/017
Inventor 孙剑李克平冯羽倪颖唐克双
Owner TONGJI UNIV
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