AI Applications in Emergency Response and Fire Safety
A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI in Autonomous Systems".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 2546
Special Issue Editors
2. National Research Council Canada, Ottawa, ON K1A 0R6
Interests: smart fire safety
Special Issue Information
Dear Colleagues,
Emergency response and fire safety are multifaceted problems due to the scale, condition, and complexity of emergency situations in our urban environment, involving high-rise buildings, transportation networks, and wildland–urban interfaces. Leveraging AI holds great potential for safeguarding life and property, as it could be used to analyze enormous amounts of data to identify patterns, predict incidents, and optimize emergency response and recovery.
This Special Issue calls for papers discussing AI and machine learning technology applications to hazardous material accidents, transportation fires, building/infrastructure fires, and wildland fires, which concern the following:
- Predictive analytics;
- Enhanced detection, situational awareness, and hazard scoping;
- Automating data processes;
- Optimize response/firefighting/evacuation strategies;
- Supporting/improving decision-making;
- Data management and analysis for risk assessment;
- Smart emergency/fire modeling.
Dr. Yoon J. Ko
Dr. Ankit Agrawal
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AI is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- predictive analytics
- enhanced detection, situational awareness, and hazard scoping
- automating data processes
- optimizing response/firefighting/evacuation strategies
- supporting/improving decision-making
- data management and analysis for risk assessment
- smart emergency/fire modeling
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