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Data-driven urban road network traffic zone multi-level division method

A technology for traffic districts and urban road networks, applied in the field of traffic engineering, can solve the problems of inability to realize multi-level dynamic division of traffic districts, poor representativeness and persuasiveness of division results, and machinery in the process of dividing traffic districts, achieving strong portability. practicability and usefulness, the wide range of time and space in research, the effect of eliminating subjectivity

Active Publication Date: 2019-06-28
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 representativeness and persuasiveness of the classification results not strong
In addition, the division process of the traffic area is relatively mechanical, and it is difficult to adjust flexibly according to the actual situation, that is, it is impossible to realize the multi-level dynamic division of the traffic area

Method used

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  • Data-driven urban road network traffic zone multi-level division method
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Embodiment Construction

[0037] The accompanying drawings are only for illustrative purposes and cannot be understood as a limitation of the patent; in order to better illustrate this embodiment, some parts of the accompanying drawings may 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 in the drawings and their descriptions may be omitted. The technical scheme of the present invention will be further described below in conjunction with the 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 car travel data records for four weeks from February 24, 2014 to March 23, 2014. The road network includes 3119 road sections. Floating car travel data includes 26.89 million travel records. The specific steps are:

[0040] Step 1: Obtain the travel data of the floating car. In t...

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Abstract

The invention discloses a data-driven urban road network traffic zone multi-level division method. The method comprises the following steps: S1, clearing out a division region, and acquiring travelingdata of the division region, wherein the travelling data comprises origin-destination attribute information of the traveling; S2, extracting effective traveling data in combination with an actual demand through the traveling data of the S1; S3, counting a traveling origin-destination pair and the corresponding traveling quantity based on the effective traveling data; S4, constructing a travellingnetwork of the division region by applying the traveling origin-destination pair and the corresponding traveling quantity data; and S5, performing traffic zone division on the division region by applying the community discovery algorithm by combining the traveling network of the S4. Based on the traveling data, the data size is large, the research space-time range is large, and the traveling activity of the whole urban road network can be comprehensively and really reflected, the analysis result is more real; secondly, the corresponding traveling data is acquired according to actual demand to accomplish the multi-level dynamic division of the specific traffic zone, and the flexibility and the pertinence of the method are strong.

Description

Technical field [0001] The present invention relates to the technical field of traffic engineering, and more specifically, to a data-driven multi-level division method of urban road network traffic districts. Background technique [0002] A traffic zone refers to a collection of nodes and road sections with a certain degree of traffic relevance and traffic similarity. There are certain differences in the temporal and spatial characteristics of traffic in different traffic zones. In recent years, with the continuous acceleration of urbanization, the scale of urban roads is also increasing, the road network is crisscrossed, and the transportation network is becoming more and more complex. In order to enhance the operability of traffic investigation, the workload of traffic investigation should be reduced as much as possible. The complexity of traffic forecast analysis divides the entire urban traffic network into several traffic areas, and then conducts relevant traffic analysis fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0137
Inventor 李军万立成郑培庆
Owner SUN YAT SEN UNIV
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