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Urban directed traffic corridor identification method based on multidirectional optimal extension

An identification method and urban technology, applied in the field of urban directional traffic corridor identification, can solve problems such as difficulty in identifying directional section-level traffic corridors, failure to fully consider residents' travel characteristics, etc.

Active Publication Date: 2022-07-15
CENT SOUTH UNIV
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  • Application Information

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Problems solved by technology

[0004] The present invention provides a method for identifying urban directional traffic corridors based on multi-directional optimal expansion. Road question

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  • Urban directed traffic corridor identification method based on multidirectional optimal extension
  • Urban directed traffic corridor identification method based on multidirectional optimal extension
  • Urban directed traffic corridor identification method based on multidirectional optimal extension

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no. 1 example

[0078] The specific implementation of the present invention is described by using the taxi trajectory data of September 1, 2016 in Shenzhen, China:

[0079] In the embodiment, Shenzhen, China is selected as the research area, and the data used are 13,802 directional road sections and 225,930 taxi trajectory points. The data time is September 1, 2016, and the time resolution of the trajectory point is about 20 seconds. Part of the trajectory data is related to the study area such as figure 2 shown.

[0080] The trajectory points of the same vehicle number are extracted from the original trajectory data set, and the travel trajectory sequence of a motor vehicle is obtained in ascending order of time. Then, delete the trajectory data of trajectory points outside the study area and with abnormal sampling intervals. Further, the time slot [t 1 ,t 2 ] is set to [06:00,10:00], and the trajectory subset Tra is extracted [06:00,10:00] . Finally, considering the urban road networ...

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Abstract

The invention provides an urban directed traffic corridor identification method based on multidirectional optimal extension. The method comprises the steps of obtaining an original trajectory data set, performing data cleaning and road network matching on the original trajectory data, extracting a trajectory subset of a specific time period by using a time slot, and modeling an urban directed road network; calculating the flow value and the dependency degree of the urban directed road network, and fusing the flow value and the dependency degree to calculate the core degree of the directed road section; and determining a seed road section according to the core degree of the directed road section, extracting all neighbor road sections of the seed road section for permutation and combination, and detecting all traffic corridors to form the urban directed traffic corridor network. According to the method, the motor vehicle travel flow value and the path selection dependency index in the actual road network are constructed to identify the urban traffic corridor in the road network space.

Description

technical field [0001] The invention relates to the field of spatiotemporal data mining, in particular to a method for identifying urban directional traffic corridors based on multidirectional optimal expansion. Background technique [0002] With the continuous advancement of my country's economic level and urbanization, the rapid increase in the number of motor vehicles and the number of residents' trips has brought unprecedented severe challenges to my country's urban transportation efficiency and transportation capacity. Frequent urban traffic congestion highlights the unbalanced matching relationship between the supply of traffic road network and the travel demand of residents. As an important channel to meet the travel demand of urban residents, urban traffic corridors are responsible for the key and huge in the road network. Residents' travel flow is the key content of scheduling and optimizing traffic travel and solving the problem of traffic congestion. Therefore, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06F16/215G06F16/29G06F30/18
CPCG08G1/0125G06F16/215G06F16/29G06F30/18Y02T10/40
Inventor 石岩李文轩陈炳蓉王达邓敏
Owner CENT SOUTH UNIV