Urban road network traffic flow OD estimation method based on automatic vehicle license plate identification data

A technology of urban road network and data recognition, which is applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve the problem of unable to reflect the real-time changes of traffic demand, static OD can not meet real-time and accurate "needs, calculations Inefficiency and other problems, to achieve good implementability, reduce manual workload, improve authenticity and reliability

Active Publication Date: 2022-02-15
YANGZHOU UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Since it cannot reflect the real-time changes in traffic demand, static OD cannot meet the "real-time and precise" requirements of modern urban traffic management and control
Existing dynamic OD estimation methods are generally based on road section traffic to invert OD traffic, which requires relatively complex modeling and solving, and the calculation efficiency is low

Method used

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  • Urban road network traffic flow OD estimation method based on automatic vehicle license plate identification data
  • Urban road network traffic flow OD estimation method based on automatic vehicle license plate identification data
  • Urban road network traffic flow OD estimation method based on automatic vehicle license plate identification data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0085] This example provides an OD estimation method for urban road network traffic flow based on automatic vehicle number plate recognition data. The process is as follows figure 1 shown, including:

[0086] S1: Set up vehicle number plate detectors at key intersections in selected road network areas, monitor and process basic traffic information through vehicle number plate detectors, traffic basic information includes vehicle number plate data, according to vehicle number plate data and road network The topology structure of the selected road network area is used to construct the complete travel trajectory of the vehicle, and the travel chain divided by the vehicles in the road network area in a single day is obtained;

[0087] In step S1, the traffic basic information is monitored by the vehicle number plate detector and processed. This process is as follows: figure 2 As shown, it specifically includes the following steps:

[0088] S10: Set the vehicle license plate det...

Embodiment 2

[0133] This example provides another implementation of step S10-A, and the rest of the steps are the same as in Example 1:

[0134] Preferably, in step S10-A, the single-day travel chains of all vehicles are divided according to the time and space information in the road network area, such as Figure 9 As shown, the following steps are also included:

[0135] S10-a: Count the number plate data of vehicles in the selected road network area, extract all the number plate data of a certain vehicle within one day, and record the total number as N;

[0136] S10-b: Arrange the N pieces of license plate data in chronological order according to the collection time of each license plate data of the vehicle, so that n=1;

[0137] S10-c: In the arranged vehicle number plate data, the difference between the collection time of the nth piece of data and the n+1th piece of data is obtained to obtain the actual driving time of the vehicle between the adjacent number plate detectors, set Set ...

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Abstract

The invention discloses an urban road network traffic flow OD estimation method based on automatic vehicle license plate identification data. The method comprises the following steps: researching and analyzing vehicle license plate monitoring data in a selected road network area, performing precision processing on the vehicle license plate data, performing trip chain division on the vehicle license plate data according to a space-time interval, and reconstructing all the travel trajectories with trajectory missing, and obtaining the OD flow of the reconstructed travel trajectories in the road network region. Compared with a traditional method based on manual investigation, the method has the advantages that complete vehicle travel trajectory information is extracted in an automatic mode, the road network dynamic OD flow is estimated on the basis, the manual workload is remarkably reduced, and the authenticity and reliability of an OD estimation result are effectively improved. Compared with a classical method for reversely deducing OD flow based on road section flow, the method can greatly reduce the complexity of modeling and solving, and has better implementability.

Description

technical field [0001] The invention belongs to the technical field of road traffic information monitoring, in particular to an OD estimation method for urban road network traffic flow based on automatic vehicle number plate recognition data. Background technique [0002] With the growth of social economy and the advancement of science and technology, the urbanization process of countries in the world is accelerating, and the scale of urban population is also increasing. At the same time, the problem of traffic congestion caused by the unbalanced traffic supply and demand has gradually become prominent, restricting the further development of the city from all aspects. [0003] The vehicle origin-destination (OD) flow is one of the basic data indicators of the urban transportation system, which describes the travel distribution between each pair of ODs in the entire transportation network. In the urban traffic system, OD traffic directly reflects the temporal and spatial dis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/065G08G1/017
CPCG08G1/0129G08G1/0137G08G1/065G08G1/017
Inventor 欧吉顺聂庆慧周志刚邓社军
Owner YANGZHOU UNIV
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