This paper is published in Volume-5, Issue-3, 2019
Area
Computer Science and Engineering
Author
Athira Soman
Co-authors
Divya S. B.
Org/Univ
Mangalam College of Engineering, Ettumanoor, Kerala, India
Pub. Date
14 May, 2019
Paper ID
V5I3-1349
Publisher
Keywords
Longitude, Latitude, Places of interest, Disaster management, Evacuation alert

Citationsacebook

IEEE
Athira Soman, Divya S. B.. Longitude and latitude based travel route recommendation and disaster management system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Athira Soman, Divya S. B. (2019). Longitude and latitude based travel route recommendation and disaster management system. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Athira Soman, Divya S. B.. "Longitude and latitude based travel route recommendation and disaster management system." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

The development of the travel industry gradually fosters personalized requirements of tourists, such as setting the start place, exploiting interesting activities and organizing the travel route and also natural disasters. Natural Disaster has threatened mankind since history started. Due to the geographic position and climate change, India is one of the most vulnerable countries to natural disasters. The country also lacks an effective disaster preparedness system to confront natural disasters. Timely disaster warning and evacuation guideline can save the lives of the people. In addition, a tourist may face difficulties in finding the best scenic spots on travel time and a safe area or shelter place prior to the occurrence of natural disasters. For this reason, proposed a location-based early travel route recommendation and disaster warning and evacuation system. The system is implemented as a desktop application. Here propose a system which takes advantage of online website to collect information of both scenic spots and real-world local activities, and proposed methods to recommend travel routes for tourists and also develop a disaster management system, which can take their instant location into account and satisfy their personalized demands. Specifically, extract scenery spots dataset from the shared dataset and popular activities from the online website. Then process these items and take the filtering results as the recommendation for tourists. And user registers on the server to get automatic notification of upcoming disaster otherwise user gets a manual notification. The user gets the updated data by the current position obtained by longitude and latitude. When our application recognizes the user in probable disaster zone then the application will disseminate visual disaster warning and evacuation guideline including shortest path of shelter or safe zone on the map of the application.
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