Dynamic traffic district division method based on trip data

A traffic area and data technology, applied in the field of traffic engineering, can solve problems such as the representativeness and persuasiveness of the division results, the inability to realize the dynamic division of traffic areas, the mechanical division of traffic areas, etc., and achieve strong portability and practicability , study the effect of a wide range of time and space, and eliminate subjectivity

Inactive Publication Date: 2018-10-12
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

All the above methods have certain limitations. They are greatly affected by the physical facilities in the road network, and are easily affected by factors such as administrative divisions and natural barriers. Manual intervention is required, and there is strong subjectivity, which makes the rep

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  • Dynamic traffic district division method based on trip data
  • Dynamic traffic district division method based on trip data
  • Dynamic traffic district division method based on trip data

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Embodiment Construction

[0037] The drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0038] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings. The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0039] The data used in the embodiment of the present invention is the GIS road network data of a certain downtown area and the floating vehicle travel data records for four weeks from February 24, 2014 to March 23, 2014, wherein the road network includes 3119 road sections, The floating car trip data includes 26.89 million trip records. The specific operation steps are:

[0040] Step 1: Get the travel data of ...

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Abstract

The invention discloses a dynamic traffic district division method based on trip data. The method comprises the following steps that S1) a division area is made clear, and trip data including origin and destination attribution information of a trip of the division area is obtained; S2) valid trip data is extracted via the trip data in the S1 according to practical demands; S3) origin and destination of the trip and corresponding trip quantities are obtained according to the valid trip data; S4) a trip network of the division area is constructed via the origin and destination of the trip and corresponding trip quantities in the S3; and S5) the division area is divided into traffic districts in a community discovery algorithm by combining the trip network of the S4. Thus, the data bulk is large by taking the large scale of trip data as the basis, the time and space scope of research is wide, trip activities of the whole urban road network can be reflected comprehensively and vividly, andan analysis result approaches the reality more; and the corresponding trip data is obtained according to the practical demands to realize multi-level dynamic division of the specific traffic district, and the method is more flexible and targeted.

Description

technical field [0001] The invention relates to the technical field of traffic engineering, and more specifically, to a method for dynamically dividing traffic areas based on travel data. Background technique [0002] A traffic area refers to a collection of nodes and links with a certain degree of traffic correlation and traffic similarity, and there are certain differences in the spatio-temporal variation characteristics of traffic in different traffic areas. In recent years, with the continuous acceleration of the urbanization process, the scale of urban roads is also increasing, the road network is criss-crossed, and the traffic network is becoming more and more complex. In order to enhance the operability of traffic surveys, it is necessary to reduce the traffic survey workload and reduce Due to the complexity of traffic prediction analysis, dividing the entire urban traffic network into several traffic areas, and then performing relevant traffic analysis for each area ...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06F17/30
CPCG08G1/0137
Inventor 李军万立成郑培庆
Owner SUN YAT SEN UNIV
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