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Freight trajectory data-based vehicle spontaneous formation mode mining method

A trajectory data and pattern mining technology, applied in database update, data processing application, structured data retrieval, etc., can solve the problems that commercialization and large-scale implementation still need a certain amount of time, achieve strong implementation effect and application value, and improve The effect of mining speed, improving pertinence and effectiveness

Pending Publication Date: 2020-06-26
BEIHANG UNIV
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Problems solved by technology

[0007] However, the realization of this technology is inseparable from the continuous popularization of autonomous driving technology in freight vehicles, the continuous coverage of vehicle network communication technology and the continuous improvement of key road-related infrastructure. Its commercialization and large-scale implementation still need a certain amount of time

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  • Freight trajectory data-based vehicle spontaneous formation mode mining method
  • Freight trajectory data-based vehicle spontaneous formation mode mining method
  • Freight trajectory data-based vehicle spontaneous formation mode mining method

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Embodiment Construction

[0050] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0051] The trajectory data involved in the present invention is the data information obtained by sampling the motion process of one or more moving objects under the space-time environment, including the sampling point position, sampling time, speed, etc., and the data information of these sampling points is based on the sampling sequence constitutes the trajectory data. The trajectory data includes a series of positioning data, and...

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Abstract

The invention discloses a freight trajectory data-based vehicle spontaneous formation mode mining method, and the method comprises the steps: completing the freight spontaneous formation mode search based on a data mining method according to the daily massive freight trajectory data; providing a full-process processing framework innovatively; setting seven databases, using an improved running distance estimation method, a map matching method, a P-OPTICS algorithm and the like to complete tasks of estimating the freight travel of each truck on that day, truck travel positioning point map matching and coordinate repairing, hotspot line and excavation time period planning, truck formation set excavation at each moment, truck spontaneous formation mode excavation and evaluation under a specified line and a specified time period and the like. Therefore, key information such as the running distance is extracted from massive freight trajectory data, and meanwhile, a freight car spontaneous formation mode mining task in a specified road section or time period is completed, so that business reference is provided for freight car formation driving work under an automatic driving background in the future while formation mode characteristics are analyzed.

Description

technical field [0001] The invention relates to the technical field of feature mining of mass freight trajectory positioning data, in particular to a method for mining spontaneous formation patterns of vehicles based on freight trajectory data. Background technique [0002] With the rapid development of my country's economy and the substantial increase in road construction mileage, the scale of road freight transportation has increased year after year and has firmly occupied the leading position in my country's freight industry. The vigorous development of road freight has also brought problems such as environmental pollution, energy crisis and traffic safety, which have attracted widespread attention from all walks of life. With the accelerated construction of intelligent transportation systems and intelligent vehicle-road coordination systems, a new mode of transportation that advocates freight trucks traveling in queues at shorter intervals - truck formation driving will ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06F16/215G06F16/23G06F16/29
CPCG06Q10/0833G06F16/215G06F16/2379G06F16/29
Inventor 马晓磊霍恩泽李宏海
Owner BEIHANG UNIV
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