A personal-oriented emergency guidance method and system based on big data

Abstract

The invention relates to an emergency guiding method and an emergency guiding system for an individual on the basis of big data. When an emergency event occurs, a user transmits GPS (global positioning system) information of a location and an emergency rescue request by using a client side. A server side searches arterial streets with high carrying capacity in a certain range surrounding a scene and provides information of places corresponding to emergency rescue service, the required time of the user heading for an arterial street, the time of the user waiting for a vehicle on the arterial street and the time of the user going to an emergency service point from the arterial street are comprehensively considered, and the global optimum path for the user who departs from the scene, passes through a certain arterial street and heads for an objective emergency service providing point is selected. Real-time tracking guiding on the client side is performed according to the optimum path returned from the server side. A big data statistic analysis processing technology is used, the advancing condition of the user can be tracked in real time and can be dynamically regulated, global optimization is carried out under the condition that the time and the cost for the whole process are comprehensively considered, and the emergency guiding method and the emergency guiding system provide maximum assistance for the individual in an emergency condition.

Description

technical field [0001] The invention relates to the fields of floating vehicle data analysis, location-related services, path optimization, mobile computing, etc., and relates to a personal-oriented self-rescue guidance method and system in emergency situations. When an emergency event occurs, according to the emergency rescue scene selected by the user, the road carrying capacity model constructed based on massive floating vehicle data can select the optimal emergency rescue trunk road for the user, and combine the real-time location information of the user tracked by the mobile device to determine the user's travel path Do the best guidance, use concise text prompts and voice assistance to help users reach the designated place as soon as possible and obtain rescue services. Background technique [0002] With the development of modern economy and society, people pay more and more attention to emergency safety. Such incidents are sudden and urgent, and often do great harm. ...

AI Technical Summary

Problems solved by technology

However, at the user's current location, there may be several urban arterial roads nearby, but the user is actually not clear where to go to take a taxi

People's perception of road conditions is always empirical and vague, especially the traffic conditions are still changing dynamically, so it is difficult for people to make scientific decisions in emergency situations

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