TRANSPORT ROUTE OPTIMIZATION USING AI DISASTER MANAGEMENT
Author(s):
Spandana R, Navyashree D S, Smitha T S, Dr. Vimuktha E Salis
Keywords:
Abstract
Because of its unique geo-climatic circumstances, our earth has always been subject to catastrophic disasters. Despite the fact that we cannot prevent an earthquake or a tsunami, we can prepare for them. Prevent a storm from forming or a volcano from erupting. We can put scientific knowledge to use. Disaster risk reduction requires both technical and scientific understanding. Disaster risk and disaster management supervision Scientific knowledge and evidence-based technique copying are heavily reliant on events. with dangers One of the most difficult issues is determining if something is natural or caused by human activity. of science and technology's applications Artificial intelligence has the potential to help with a variety of issues. By mobilising relief resources more efficiently and effectively, the damage can be minimised. It has the ability to accelerate. aid delivery and enhance the decision- making of front-line relief workers AI's application is quickly becoming the norm in database management, with the goal of carrying out operations and objectives. Prepare effectively, respond promptly and swiftly, efficiently allocate resources, repair damages, restore functionality, protect the community, and reduce the negative impact of disasters.
Article Details
Unique Paper ID: 156033

Publication Volume & Issue: Volume 9, Issue 2

Page(s): 501 - 505
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews