Regional rail network UAV cruise method based on dynamic cell division

A technology of unmanned aerial vehicle and community, applied in the field of transportation, can solve the problems of unmanned aerial vehicle area road network cruising method and other problems

Inactive Publication Date: 2012-04-25
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the fact that the research on UAVs in the domestic transportation field has just started, a relatively systematic UAV regional road network cruising method has not yet been formed.

Method used

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  • Regional rail network UAV cruise method based on dynamic cell division
  • Regional rail network UAV cruise method based on dynamic cell division
  • Regional rail network UAV cruise method based on dynamic cell division

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings.

[0063] The present invention obtains a general road network cruising method for unmanned aerial vehicles by dynamically dividing regions, classifying roads and optimizing the flight path of unmanned aerial vehicles.

[0064] For the regional road network studied, there are some road sections that need special attention, and also some road sections that have little research value. Therefore, it is necessary to classify the road sections first, that is, to classify the importance. The first step in classifying road sections is to determine the evaluation indicators. Here, the evaluation index may use traffic flow, the number of accidents, and the like. The second is to analyze the statistical data related to the evaluation index. Taking the accident occurrence as the evaluation index as an example, through the analysis of the historical data ob...

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Abstract

The invention discloses a regional rail network UAV cruise method based on dynamic cell division. The method comprises the following steps; grading roads, dividing all the roads into important parts and unimportant parts according to grades so that there are differences when the cruise is arranged; carrying out preliminary flight cell division to the whole area according to a UAV cruise radius and a ground control center, wherein one UAV cruises one flight cell; carrying out UAV flight path optimization to the roads with different grades in the each flight cell and performing cruise time constraint examination according to a UAV path optimization result; if a condition is satisfied, determining the path as the optimal path; otherwise, turning into a next step; if the cruise time constraint is not satisfied, using a cluster analysis method to further dividing the each cell; repeating the above steps till all the constraints are satisfied so as to obtain the final optimization cell and the optimization path and determine a cruise scheme.

Description

technical field [0001] The invention belongs to the technical field of traffic, and relates to a method for cruising by an unmanned aerial vehicle, in particular to a method for cruising by an unmanned aerial vehicle in a regional road network based on dynamic cell division. Background technique [0002] At present, the role of unmanned aerial vehicles in transportation has been paid more and more attention, and unmanned aerial vehicles are used in traffic accident handling, traffic information collection and processing, traffic flow aggregation and diffusion rules, traffic road sections and intersection vehicles and pedestrian driving status, etc. It has broad application prospects. However, since the research on UAVs in the field of domestic transportation has just started, a relatively systematic UAV regional road network cruising method has not yet been formed. Therefore, formulating a reasonable UAV cruise plan has extensive practical significance. Contents of the in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G5/00G08G1/01
Inventor 孙健闫庆雨常云涛彭仲仁
Owner TONGJI UNIV
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