Summary of Evacuation Management Framework Towards Smart City-wide Intelligent Emergency Interactive Response System, by Anuj Abraham and Yi Zhang and Shitala Prasad
Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System
by Anuj Abraham, Yi Zhang, Shitala Prasad
First submitted to arxiv on: 7 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A proposed smart city solution aims to enhance emergency preparedness by transforming an existing response system into an intelligent interactive one, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The goal is to improve public services and quality of life for residents in various settings, such as homes, roads, hospitals, transport hubs, and more. To achieve this, the authors focus on optimizing actions taken at relevant departments by considering three application scenarios closely related to daily life: indoor households, urban roads, and large public facilities. The solution will benefit from advanced sensor fusion and AI-formulated real-time dynamic models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A smart city solution is being developed to help emergency responders be more prepared for accidents in different locations like homes, roads, and public places. This system uses artificial intelligence (AI) and machine learning (ML) to make it smarter and more efficient. The goal is to improve the services provided to people during emergencies and make life better for everyone involved. |
Keywords
* Artificial intelligence * Machine learning
