Highway rescue station selection method based on big data
A big data and highway technology, applied in the field of big data, can solve the problems of insufficient rescue speed, slow recovery of vehicles to normal traffic, unreasonable rescue site settings, etc., and achieve the effect of increasing the speed and improving the rescue speed.
Active Publication Date: 2021-03-05
中道汽车救援股份有限公司
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Problems solved by technology
However, in the existing technology, the setting of rescue stations is not reasonable enough, resulting in insufficient rescue speed and slow recovery of vehicles to normal traffic.
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[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0037] see Figure 1~2, in an embodiment of the present invention, a road rescue site selection system based on big data. The site allocation system includes a road section division module, a geographic location analysis module, a vehicle driving analysis module, an accident statistics module, and a rescue site selection module. Geographical location analysis module, vehicle driving analysis module, accident statistics module are connected with rescue site sel...
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The invention discloses a highway rescue station selection system and method based on big data, wherein the station selection system comprises a road section dividing module, a geographic position analysis module, a vehicle driving analysis module, an accident occurrence statistics module, and a rescue station selection module. The geographic position analysis module, the vehicle driving analysismodule and the accident occurrence statistics module are connected with the rescue station selection module, the road section division module is used for dividing a road in an interval served by a rescue station into a plurality of small sections of roads, and the geographic position analysis module is used for analyzing and counting the geographic position condition of each small section of road.The vehicle driving analysis module is used for analyzing and counting vehicle driving conditions on each small section of road, and the accident occurrence statistics module is used for analyzing and counting accident occurrence conditions on each small section of road.
Description
technical field [0001] The invention relates to the field of big data, in particular to a method for selecting road rescue sites based on big data. Background technique [0002] With the rapid development of society, people's living standards have also been improved, and more and more families have private cars. When people go out, they will first consider traveling by private car. As a result, there are more and more vehicles on the traffic road, and the frequency of traffic accidents has also increased significantly. When a traffic accident occurs, if the accident scene is not handled in time, it will affect this article. Traffic of other vehicles on the road. Setting up rescue stations on the road will help to deal with the accident scene in time and reduce the slowdown of vehicle communication caused by accidents. However, in the prior art, the setting of rescue stations is not reasonable enough, resulting in insufficient rescue speed and slow recovery of vehicles to n...
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IPC IPC(8): G08G1/01G06Q50/26G06Q10/06
CPCG08G1/0137G06Q10/0639G06Q50/26
Inventor 徐涛
Owner 中道汽车救援股份有限公司