Abstract
Building architectures are growing towards increased complexity, with countless people moving through them. Not all amongst the crowd could possibly be familiar with the building to escape a fire danger zone. Even if the infrastructure complies to safety standards, decision making for fire evacuation, while ensuring safety, is utmost critical. Tailoring to these constraints, it is essential to protect lives by efficient and complete evacuation. For fire emergency, the proposed evacuation routing system is inputted by a group of wireless sensor nodes present across the considered floor plan; a MATLAB based central server to find/calculate better safe evacuation routes for the imperiled people, at a remote location in the building; a Wi-Fi based network that communicates this calculated route from the sensor network to server and server to the occupant, on evacuee’s cell phone. The information from the sensors is transmitted by a Wi-Fi network and is aggregated by the Thingspeak server. The real-time evacuation route is calculated by the server, towards the nearest and safest exit door from the occupant’s instantaneous location, by deploying A* algorithm for route optimization, along with data from sensor network that informs about origin and fire spread regarding hazard’s location. The server transmits the route information to the occupants through Wi-Fi connectivity. The endangered evacuees aretherebyenabled to view and follow this information of dynamic and real time active maps using a Smartphone. The proposed framework is prototyped and analyzed for their future inclusion into existing fire evacuation systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
ISO and Construction (2017) ISBN 978-92-67-10779-0
Gershon RRM, Magda LA, Riley HEM, Sherman MF (2012) The world trade center evacuation study: factors associated with initiation and length of time for evacuation. Fire Mater 36:481–500
Roan T-R, Haklay M, Ellul C (2011) Modified navigation algorithms in agent-based modelling for fire evacuation simulation. In: The 11th international conference on geo computation, London, pp 43–49
Fire alarm systems market driven by rapid growth in developing nations. ARC Advisory Group. https://www.arcweb.com/press/fire-alarm-systems-market-driven-rapid-growth-developing-nations
Wang B, Li H, Rezgui Y, Bradley A, Ong HN (2014) BIM based virtual environment for fire emergency evacuation. Sci World J 2014:1–22
Richardson O, Jalba A, Muntean A (2018) Effects of environment knowledge in evacuation scenarios involving fire and smoke: a multiscale modelling and simulation approach. Fire Technol 55(2):415–436
Barnes M, Leather H, Arvind DK (2007), Emergency evacuation using wireless sensor networks. In: The 32nd IEEE conference on local computer networks (LCN 2007). IEEE, Dublin, Ireland, pp 851–857
Tabirca T, Brown KN, Sreenan CJ (2009) A dynamic model for fire emergency evacuation based on wireless sensor networks. In: 2009 eighth international symposium on parallel and distributed computing. IEEE, Lisbon, Portugal, pp 29–36
Ma J, Jia W, Zhang J (2017) Research of building evacuation path to guide based on BIM. In: The 29th Chinese controls & decision conference (CCDC). IEEE Press, Chongqing, pp 1814–1818
Bakar NAA, Adam K, Majid MA, Allegra M (2017) A simulation model for crowd evacuation of fire emergency scenario. In: (ICIT) The 8th international conference on information technology, IEEE, Amman, Jordan, pp 361–368
Ronchi E, Uriz FN, Criel X, Reilly P (2016) Modeling large-scale evacuation of music festivals. Case Stud Fire Saf 5:11–19 (Elsevier)
Radianti J, Granmo O-C, Sarshar P, Goodwin M, Dugdale J, Gonzalez JJ (2015) A spatiotemporal probabilistic model of hazard and crowd dynamics for evacuation planning in disasters. Appl Intell 42:3–23
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Rudrawar, S.K., Ghorpade, P., Sakhare, D.Y. (2021). Implementation of A* Algorithm for Real-Time Evacuation During Fire Situation. In: Pawar, P.M., Balasubramaniam, R., Ronge, B.P., Salunkhe, S.B., Vibhute, A.S., Melinamath, B. (eds) Techno-Societal 2020. Springer, Cham. https://doi.org/10.1007/978-3-030-69921-5_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-69921-5_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69920-8
Online ISBN: 978-3-030-69921-5
eBook Packages: EngineeringEngineering (R0)