A method and system for emergency evacuation guidance based on multi-data fusion

Abstract

The invention relates to an emergency escape guide method and an emergency escape guide system based on multi-data infusion, which are used for helping a user to select a best escape destination and a safest escape route in case of dangers. In case of dangers, the user sends the GPS (Global Positioning System) of a place at which the user is positioned and an escape guide request. A server side is used for searching for POIs (Points of Interest) of a specific type which can be used for helping the user to escape within a certain range around an incidence place, identifying candidate safe areas with high POI gather density and high crowd density through a clustering algorithm, comprehensively considering the safety of a route through which the user heads for a safe region as well as the safety of a target safe area, and selecting an optical escape path with the highest global safety coefficient. A client is used for performing real-time tracking guidance according to the optimal path. By adopting the method and the system, simple and efficient instant guide service can be provided, and the method and the system have practical application values on reduction of the personal life and property losses, protection of a harmonic and stable living environment and the like.

Description

technical field [0001] The present invention relates to data analysis of massive floating vehicles, urban crowd travel pattern analysis based on social media data, city information point (Point of Interest, POI) space-time cluster analysis, optimal path planning, location-related services, mobile computing and other fields, specifically It relates to an individual-oriented emergency escape guidance method and system based on multi-data fusion. Background technique [0002] In the past ten years, the popularization of information technology has profoundly changed people's lives. With the development of big data processing technology and the implementation of cloud computing services, people can already use more powerful computing resources to process more massive data, and various applications based on massive data analysis and processing have emerged as the times require. At the same time, with the popularization of various mobile terminals, the threshold for people to obta...

AI Technical Summary

Problems solved by technology

However, the parties’ perceptions of traffic conditions and regional safety are empirical, unreliable, and insensitive to time

If in a dangerous situation, improper selection will cause significant losses to the parties

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