Skip to main content
SpringerLink
Log in

Simulation on Natural Disaster Fire Accident Evacuation Using Augmented Virtual Reality

  • Conference paper
  • First Online:
Inventive Communication and Computational Technologies (ICICCT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 757))

Abstract

Disaster situations are dangerous, highly dynamic, and unpredictable. Human behavior after a disaster is difficult to predict because it is influenced by unknown and irrational factors. Unpredictable behavior deviates from what science refers to as “ration al choice.” Creating awareness without entering disaster situations does not provide a realistic sense of the situation. It is advised to use immersive simulators to enter artificial yet authentic world’s. It is difficult to have a sense of realistic disaster scenarios when raising awareness without actually experiencing them. It is advised to use immersive simulators to enter artificial yet authentic worlds. It is difficult to have a sense of realistic disaster scenarios when raising awareness without actually experiencing them. Immersive simulations are advised since they will enable users to enter virtual yet accurate environments of natural fire disaster. Simulations can depict dangerous and novel or unique circumstances without having to deal with the severe repercussions of an emergency or actual tragedy. Immersive learning opportunities like medical simulators are excellent teaching aids. Since they allow participants to experience emergency circumstances in a safe and engaging manner, simulations can help us plan for emergencies and manage crises. The research proposal of this work is simulation of Mixed Reality (MR) is Integrated Augmented Virtual Reality (AVR).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anderson A, Boppana A, Wall R, Acemyan CZ, Adolf J, Klaus D (2021) Framework for developing alternative reality environments to engineer large, Complex systems. Virtual reality 25:147–163 https://doi.org/10.1007/s10055-020-00448-4

  2. Drury J, Cocking C, Reicher S, Burton A, Schofield D, Hardwick A et al (2009) Cooperation versus competition in a mass emergency evacuation: A new laboratory simulation and a new theoretical model. Behavior Res Methods 41:957–970

    Google Scholar 

  3. Kretz T, Hengst S, Arias AP, Friedberger S, Hanebeck UD (2013) Using a telepresence system to investigate route choice behavior. In: Kozlov V, Buslaev A, Bugaev A, Yashina M, Schadschneider A, Schreckenberg M (eds) Traffic and granular flow ‘11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39669-4_14

  4. Ribeiro J, Almeida JE, Rossetti RJF, Coelho A, Coelho AL (2012) Using serious games to train evacuation behaviour. In: 7th Iberian conference on information systems and technologies (CISTI 2012), Madrid, Spain, 2012, pp 1–6

    Google Scholar 

  5. Saunders WL (2001) Decision making model of behaviour in office building fire evacuations. PhD dissertation, Victoria University of Technology

    Google Scholar 

  6. Loomis JM, Blascovich JJ, Beall AC (1999) Immersive virtual environment technology as a basic research tool in psychology. Behav Res Methods Instrum Comput 31:557–564

    Article  Google Scholar 

  7. Shadish WR, Cook TD, Campbell DT (2002) Experimental and quasi-experimental designs for generalized causal inference

    Google Scholar 

  8. Patterson R, Winterbottom MD, Pierce BJ (2006) Perceptual issues in the use of head-mounted visual displays. Human Factors 48:555–573

    Google Scholar 

  9. Stanney KM, Kennedy RS (2010) Simulation sickness. In: Hancock PA, Vincenzi DA, Wise JA, Mouloua M (eds) Human factors in simulation and training, CRC Press, Boca Raton, Florida, pp 117–124

    Google Scholar 

  10. Lorusso P, De Iuliis M, Marasco S, Domaneschi M, Cimellaro GP, Villa V (2022) Fire emergency evacuation from a school building using an evolutionary virtual reality platform. Buildings 12(2):223. https://doi.org/10.3390/buildings12020223

  11. Roopa D, Prabha R, Senthil GA (2021) Revolutionizing education system with interactive augmented reality for quality education. Mater Today: Proc 46(Part 9)3860–3863. ISSN 2214-7853. https://doi.org/10.1016/j.matpr.2021.02.294

  12. Saghafian M, Laumann K, Akhtar RS, Skogstad MR (2020) The evaluation of virtual reality fire extinguisher training, Front Psychol 11:1664-1078. https://doi.org/10.3389/fpsyg.2020.593466

  13. Kwegyir-Afful E (2022) Effects of an engaging maintenance task on fire evacuation delays and presence in virtual reality. Int J Disaster Risk Reduction 67:102681. ISSN 2212-4209. https://doi.org/10.1016/j.ijdrr.2021.102681

  14. Ramadan MZ, Ghaleb AM, Ragab AE (2020) Using electroencephalography (EEG) power responses to investigate the effects of ambient oxygen content, safety shoe type, and lifting frequency on the worker’s activities. BioMed Res Int 2020

    Google Scholar 

  15. Jung Y (2022) Virtual reality simulation for disaster preparedness training in hospitals: integrated review. J Med Internet Res 24(1):e30600

    Google Scholar 

  16. Barfield W, Danas E (1996) Comments on the use of olfactory displays for virtual environments. Presence: Teleoperators Virtual Environ 5:109–121

    Google Scholar 

  17. Richard E, Tijou A, Richard P, Ferrier J-L (2006) Multi-modal virtual environments for education with haptic and olfactory feedback. Virtual Reality 10:207–225

    Article  Google Scholar 

  18. Hülsmann F, Mattar N, Fröhlich J, Wachsmuth I (2013) Wind and warmth in virtual reality–requirements and chances. In: Proceedings of the workshop Virtuelle & Erweiterte Realität 2013, vol 10

    Google Scholar 

  19. Boyle LN, Lee JD (2010) Using driving simulators to assess driving safety. Accid Anal Prev 42:785–787

    Article  Google Scholar 

  20. Meyerbröker K, Emmelkamp PM (2010) Virtual reality exposure therapy in anxiety disorders: a systematic review of process-and-outcome studies. Depress Anxiety 27:933–944

    Article  Google Scholar 

  21. Wiederhold BK, Wiederhold MD (2010) Virtual reality treatment of posttraumatic stress disorder due to motor vehicle accident. Cyberpsychol Behav Soc Netw 13:21–27

    Article  Google Scholar 

  22. Anderson CA, Bushman BJ (1997) External validity of “trivial” experiments: the case of laboratory aggression. Rev Gen Psychol 1:19–41

    Article  Google Scholar 

  23. Peperkorn HM, Alpers GW, Mühlberger A (2013) Triggers of fear: perceptual cues versus conceptual information in spider phobia. J Clin Psychol 70(7):704–714. https://doi.org/10.1002/jclp.22057. Epub 2013 Dec 18. PMID: 24353196

  24. Kobes M, Helsloot I, de Vries B, Post J (2010) Exit choice, (pre-)movement time and (pre-) evacuation behaviour in hotel fire evacuation—Behavioural analysis and validation of the use of serious gaming in experimental research. Procedia Eng 3:37–51

    Google Scholar 

  25. Malthe F, Vukancic (2012) Virtual Reality och människors beteende vid brand [Virtual Reality and human behavior in fire]. Lund University LUCATORG: 011033007, ISSN: 1402-3504

    Google Scholar 

  26. Johansson J, Petersson L (2007) Utrymning och vägval i Virtual Reality. In: Mühlberger H, Bülthoff HH, Wiedemann G, Pauli P (eds) Virtual reality for the psychophysiological assessment of phobic fear: responses during virtual tunnel driving, vol 19. Psychological Assessment, pp 340–346

    Google Scholar 

  27. Calvi A, De Blasiis MR (2011) How long is really a road tunnel? Application of driving simulator for the evaluation of the effects of highway tunnel on driving performance. In: 6th International conference traffic and safety in road tunnels, Hamburg, Germany

    Google Scholar 

  28. Calvi A (2010) Analysis of driver’s behaviour in road tunnels: a driving simulation study. In: 2010 International symposium on safety science and technology, Zhejiang, China, vol 8, pp 1892–1904

    Google Scholar 

  29. Törnros J (1998) Driving behaviour in a real and a simulated road tunnel—a validation study. Accid Anal Prev 30:497–503

    Article  Google Scholar 

  30. Hirata T, Yai T, Tagakawa T (2007) Development of the driving simulation system MOVIC-T4 and its validation using field driving data. Tsinghua Sci Technol 12:141–150

    Article  Google Scholar 

  31. Shechtman O, Classen S, Awadzi K, Mann W (2009) Comparison of driving errors between on-the-road and simulated driving assessment: a validation study. Traffic Inj Prev 10:379–385

    Article  Google Scholar 

  32. Heliovaara S, Kuusinen J-M, Rinne T, Korhonen T, Ehtamo H (2012) Pedestrian behavior and exit selection in evacuation of a corridor—an experimental study. Saf Sci 50:221–227

    Article  Google Scholar 

  33. Rüppel U, Schatz K (2011) Designing a BIM-based serious game for fire safety evacuation simulations. Adv Eng Inform 25:600–611

    Article  Google Scholar 

  34. Duarte E, Rebelo F, Teles J, Wogalter MS (2014) Behavioral compliance for dynamic versus static signs in an immersive virtual environment. Applied Ergonomics (in press)

    Google Scholar 

  35. Lo SM, Fang Z, Lin P, Zhi GS (2004) An evacuation model: the SGEM package. Fire Saf J 39(3):169–190

    Article  Google Scholar 

  36. Shen T (2005) ESM: a building evacuation simulation model. Build Environ 40(5):671–680. ISSN 0360-1323. https://doi.org/10.1016/j.buildenv.2004.08.029

  37. Li H, Tang W, Simpson D (2004) Behaviour based motion simulation for fire evacuation procedures. In: Proceedings of the theory and practice of computer graphics 2004. Bournemouth, United Kingdom, 2004, pp 112–118

    Google Scholar 

  38. Gwynne S, Galea ER, Lawrence PJ, Filippidis L (2001) Modelling occupant interaction with fire conditions using the building EXODUS evacuation model. Fire Saf J 36(4):327–357

    Article  Google Scholar 

  39. Thompson PA, Marchant EW (1995) A computer model for the evacuation of large building populations. Fire Saf J 24:131–148

    Article  Google Scholar 

  40. Shih N, Lin C, Yang C (2000) Virtual-reality-based feasibility study of evacuation time compared to the traditional calculation method. Fire Saf J 34(4):377–391

    Article  Google Scholar 

  41. Li W, Jin Y, Li J, Guo G, Peng G, Chen C (2004) Collaborative forest fire fighting simulation. In: Sun J (ed) Proceedings of SPIE ʊ the international society for optical engineering, vol 5444, Fourth international conference on virtual reality and its applications in industry. Tianjin, China, 2004: pp 467–473

    Google Scholar 

  42. Cha M, Han S, Lee J, Choi B (2012) A virtual reality-based fire training simulator integrated with fire dynamics data. Fire Saf J 50(5):12–24

    Google Scholar 

  43. Ginnis AI, Kostas KV, Politis CG, Kaklis PD (2010) VELOS: A VR platform for ship-evacuation analysis. Comput Aided Des 42(11):1045–1058

    Google Scholar 

  44. Andree K, Kinateder M, Nilsson D (2013) Immersive virtual environment as a method to experimentally study human behaviour in fire. In: 13th International conference and exhibition on fire science and engineering, Royal Holloway College, University of London, UK, 2013, pp 565–570

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Technology, Agni College of Technology, Chennai, India

    G. A. Senthil & V. Mathumitha

  2. Deptartment of Electronics and Communication Engineering, Sri Sai Ram Institute of Technology, Chennai, India

    R. Prabha

  3. Department of Artificial Intelligence and Data Science, Sri Sai Ram Institute of Technology, Chennai, India

    Su. Suganthi

  4. Department of Electronics and Communication Engineering, K. Ramakrishnan College of Technology, Trichy, India

    Manjunathan Alagarsamy

Authors
  1. G. A. Senthil
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. Mathumitha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. Prabha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Su. Suganthi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Manjunathan Alagarsamy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to G. A. Senthil .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Department of Computer Science (HUMAIN-Lab), International Hellenic University, Thessaloniki, Greece

    George A. Papakostas

  3. Information Systems and Operations Management (ISEG), University of Lisbon, Lisboa, Portugal

    Álvaro Rocha

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Senthil, G.A., Mathumitha, V., Prabha, R., Suganthi, S., Alagarsamy, M. (2023). Simulation on Natural Disaster Fire Accident Evacuation Using Augmented Virtual Reality. In: Ranganathan, G., Papakostas, G.A., Rocha, Á. (eds) Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_23

Download citation

Publish with us

Policies and ethics

Search

Navigation