Big data-based road rescue station selection system and method
A big data and highway technology, applied in the field of big data, can solve problems such as insufficient rescue speed, slow speed of vehicles returning to normal traffic, unreasonable setting of rescue stations, etc., and achieve the effect of improving rescue speed and speed
Active Publication Date: 2019-12-13
海安玺云科技有限公司
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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 big data-based road rescue station selection system and method. The station selection system comprises a road section division 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 analysis module and theaccident occurrence statistics module are connected with the rescue station selection module; the road section division module is used for dividing roads in intervals served by rescue stations into aplurality of small road sections; the geographic position analysis module is used for analyzing the geographic position conditions of each small road section, and putting the geographic position conditions into statistics; the vehicle driving analysis module is used for analyzing vehicle driving conditions on each small road section and putting the vehicle driving conditions into statistics; and the accident occurrence statistics module is used for analyzing accident occurrence conditions on each small road section and putting the accident occurrence conditions into statistics.
Description
technical field [0001] The invention relates to the field of big data, in particular to a system and 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 ve...
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IPC IPC(8): G08G1/01G06Q10/06G06Q50/26
CPCG08G1/0137G06Q10/0639G06Q50/26
Inventor 徐涛
Owner 海安玺云科技有限公司