Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2018
Abstract
Emergency (medical, fire or criminal) Management Systems(EMSs) are crucial for ensuring public safety and security. Typically in many cities, less than 20% of the cases received by EMSs belong to the extremely serious category and require immediate help. Rest of the incidents typically are less serious and thereby allow more flexibility in response time. Therefore, for efficient management of EMS requests, several EMSs now categorise an incoming emergency request into apriority level based on well studied “triaging” methods. Leading research on optimising emergency response has either focussed on data-driven models for settings with homogenous incidents or on generic heuristics (that are not data-driven) in multi-priority incident settings.
Discipline
Artificial Intelligence and Robotics | Health and Medical Administration | Operations and Supply Chain Management | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of International Conference on Automated Planning and Scheduling, ICAPS-18, Netherlands, Europe, UK, 2018 June 24-29
First Page
330
Last Page
338
Identifier
10.1609/icaps.v28i1.13915
Publisher
AAAI Press
City or Country
Palo Alto
Citation
KONDA, Muralidhar; GHOSH, Supriyo; and VARAKANTHAM, Pradeep.
Reserved optimisation: Handling incident priorities in emergency response systems. (2018). Proceedings of International Conference on Automated Planning and Scheduling, ICAPS-18, Netherlands, Europe, UK, 2018 June 24-29. 330-338.
Available at: https://ink.library.smu.edu.sg/sis_research/4250
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1609/icaps.v28i1.13915
Included in
Artificial Intelligence and Robotics Commons, Health and Medical Administration Commons, Operations and Supply Chain Management Commons, Operations Research, Systems Engineering and Industrial Engineering Commons
