survey

Intelligent Evacuation Management Systems: A Review

Authors:

Azhar Mohd Ibrahim,

Ibrahim Venkat,

K. G. Subramanian,

Ahamad Tajudin Khader,

Philippe De WildeAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 7, Issue 3

Article No.: 36, Pages 1 - 27

https://doi.org/10.1145/2842630

Published: 01 February 2016 Publication History

Abstract

Crowd and evacuation management have been active areas of research and study in the recent past. Various developments continue to take place in the process of efficient evacuation of crowds in mass gatherings. This article is intended to provide a review of intelligent evacuation management systems covering the aspects of crowd monitoring, crowd disaster prediction, evacuation modelling, and evacuation path guidelines. Soft computing approaches play a vital role in the design and deployment of intelligent evacuation applications pertaining to crowd control management. While the review deals with video and nonvideo based aspects of crowd monitoring and crowd disaster prediction, evacuation techniques are reviewed via the theme of soft computing, along with a brief review on the evacuation navigation path. We believe that this review will assist researchers in developing reliable automated evacuation systems that will help in ensuring the safety of the evacuees especially during emergency evacuation scenarios.

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Index Terms

Intelligent Evacuation Management Systems: A Review
1. Computing methodologies
  1. Artificial intelligence
2. General and reference
  1. Document types
    1. Surveys and overviews

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cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 7, Issue 3

Regular Papers, Survey Papers and Special Issue on Recommender System Benchmarks

April 2016

472 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2885506

Editor:
Yu Zheng
Microsoft Research, China

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Publication History

Published: 01 February 2016

Accepted: 01 October 2015

Revised: 01 September 2015

Received: 01 May 2015

Published in TIST Volume 7, Issue 3

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Kotkova EMatveev A(2024)FRAMEWORK OF THE INTELLIGENT EVACUATION CONTROL SYSTEMScientific and analytical journal «Vestnik Saint-Petersburg university of State fire service of EMERCOM of Russia»10.61260/2218-130X-2024-2-62-692024:2(62-69)Online publication date: 14-Jul-2024
https://doi.org/10.61260/2218-130X-2024-2-62-69
Hussain ZCao RCao R(2024)Designing for Safety: A Review of Human-Centered Approaches in Evacuation App DevelopmentEuropean Journal of Theoretical and Applied Sciences10.59324/ejtas.2024.2(6).442:6(500-523)Online publication date: 1-Nov-2024
https://doi.org/10.59324/ejtas.2024.2(6).44
Ma YGelenbe ELiu K(2024)Impact of IoT System Imperfections and Passenger Errors on Cruise Ship Evacuation DelaySensors10.3390/s2406185024:6(1850)Online publication date: 13-Mar-2024
https://doi.org/10.3390/s24061850
Milasi SBenar NNazarian AShahzad M(2024)Unlocking the potential: A comprehensive meta-synthesis of Internet of Things in the sports industryProceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology10.1177/17543371241229521Online publication date: 11-Feb-2024
https://doi.org/10.1177/17543371241229521
Gavidia-Calderon CKordoni ABennaceur ALevine MNuseibeh B(2024)The IDEA of Us: An Identity-Aware Architecture for Autonomous SystemsACM Transactions on Software Engineering and Methodology10.1145/365443933:6(1-38)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3654439
Ma YGelenbe ELiu K(2024)IoT Performance for Maritime Passenger Evacuation2024 IEEE 10th World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT62078.2024.10811235(1-6)Online publication date: 10-Nov-2024
https://doi.org/10.1109/WF-IoT62078.2024.10811235
Huang ZFang ZYe RChraibi M(2024)A Matrix Translation Model for Evacuation Path OptimizationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.331251925:2(1374-1383)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TITS.2023.3312519
Le TTran HBouzefrane S(2024)iTEVAC: an enhanced trusted evacuation system leveraging fog computing and IoTJournal of Information and Telecommunication10.1080/24751839.2024.23067878:4(417-451)Online publication date: 23-Jan-2024
https://doi.org/10.1080/24751839.2024.2306787
Dong FZhong QLiao YHirota KChen K(2024)Dynamic job shop scheduling performance evaluation based on green intelligent manufacturing and thermal efficiency improvementThermal Science and Engineering Progress10.1016/j.tsep.2024.10278553(102785)Online publication date: Aug-2024
https://doi.org/10.1016/j.tsep.2024.102785
Bhardwaj RBhargava AKumar V(2024)INFED: Enhancing fire evacuation dynamics through 3D congestion-aware indoor navigation frameworkSimulation Modelling Practice and Theory10.1016/j.simpat.2024.103010136(103010)Online publication date: Nov-2024
https://doi.org/10.1016/j.simpat.2024.103010
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