AI (artificial intelligence)-assisted planning within emergency management operations
DOI:
https://doi.org/10.5055/jem.0622Keywords:
GNSS, GIS, RMM, traffic control, video image processors, AI, GPUs, neural networksAbstract
There is a demand for future technologies to be embedded within emergency management operations. Artificial intelligence (AI) can help save lives and create more efficient systems for emergency management operators to prepare, design, develop, and execute responses to disasters and catastrophes. This study intends to provide insight into how AI can integrate with climate modeling and traffic management systems in response to natural disasters. Research with supporting evidence implies that current technology and frameworks can coexist inside the existing infrastructure and emergency management operations. A growing population with an increase in anthropogenic emissions and the inability to predict future disasters and catastrophes suggests that AI can help address these challenges.
References
FEMA: January 2021. Available at https://training.fema.gov/history.aspx. Accessed September 24, 2021.
Hub P: AI to the rescue: 5 ways machine learning can assist during emergency situations. August 8, 2018. Available at https://hub.packtpub.com/ai-rescue-5-ways-machine-learning-can-assistemergency-situations/. Accessed September 24, 2021.
West DM: What is artificial intelligence? Brookings, October 18, 2018.
Yassin G: Build simple AI.NET library—Part 5—artificial neural networks. CodeProject, September 18, 2017.
United Census Bureau: Historical apportionment data map. April 26, 2021. Available at https://www.census.gov/library/visualizations/interactive/historical-apportionment-data-map.html. Accessed September 24, 2021.
AppsApk: GPS route finder. 2020. Available at AppsApk.com. Accessed September 24, 2021.
USGS: What is remote sensing and what is it used for? 2021. Available at https://www.usgs.gov/faqs/what-remote-sensing-andwhat-it-used?qt-news_science_products=0#qt-news_science_products. Accessed September 24, 2021.
Britannica: GIS, computer system. 2021. Available at https://www.britannica.com/technology/GIS. Accessed September 24, 2021.
Hayes A: Wearable technology investopedia. May 11, 2020. Available at https://www.investopedia.com/terms/w/wearable-technology.asp. Accessed September 24, 2021.
CCHPCA: Remote patient monitoring (RPM). 2021. Available at https://www.cchpca.org/topic/remote-patient-monitoring/. Accessed September 24, 2021.
Ruf C, Unwin M, Dickinson J, et al.: CYGNSS: Enabling the future of hurricane prediction [remote sensing satellites]. IEEE Geosci Remote Sens Mag. 2013; 1(2): 52-67.
Park HTJ, Choi Y: The preliminary study on the prediction of a hurricane path by GNSS derived PWV analysis. In Proceedings of the ION 2017 Pacific PNT Meeting, Honolulu, Hawaii, May 2017: 500-513.
Malkos S, del Castillo M, Mole S: Ultra low power—High accuracy location for wearables. In Proceedings of the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2014), Tampa, Florida, September 2014: 184-193.
Yu K, Rizos C, Burrage D, et al.: An overview of GNSS remote sensing. EURASIP J Adv Signal Process. 2014; 134(2014): 1-14. DOI: 10.1186/1687-6180-2014-134.
Baker F: Future—The technology that could end traffic jams. BBC, December 12, 2018.
FHWA: Chapter 1: Traffic Detector Handbook. 3rd ed., Vol. I. Washington, DC: FHWA, 2016.
FHWA: Chapter 2: Traffic Detector Handbook. 3rd ed., Vol. I. Washington, DC: FHWA, 2016.
Yeung J: Overview of the key technologies of artificial intelligence, key components to build an artificial intelligence platform. April 10, 2020. Available at https://towardsdatascience.com/overview-of-the-key-technologies-of-artificial-intelligence-1765745cee3. Accessed September 24, 2021.
Templeton G: Artificial neural networks are changing the world what are they? ExtremeTech, October 11, 2015.
Morlion P: Traffic management as a service. Pulse. 2016; 20. Available at https://www.linkedin.com/pulse/traffic-managementservice-pieter-morlion. Accessed September 24, 2021.
NASA: Climate change evidence: How do we know? September 21, 2018. Available at https://climate.nasa.gov/evidence/. Accessed September 24, 2021.
West DM, Allen JR: How artificial intelligence is transforming the world. Brookings, April 18, 2018.
Published
How to Cite
Issue
Section
License
Copyright 2007-2023, Weston Medical Publishing, LLC and Journal of Emergency Management. All Rights Reserved
