Abstract
Mass evacuation of people in buildings during emergencies is still a burning question regarding safety and reliability. Due to lack of information, crowd prefers to evacuate in the form of random groups. This random grouping increases the possibility of panic among evacuees due to human behavioral factors like herding and stampeding. As a result, congestion may occur resulting in unnecessary casualties. For this purpose, we propose a multi-agent evacuation architecture, that not only collects all the information from evacuees and events occurring in the building on a real-time basis but also provides the evacuation routes to evacuees. In this paper, we discuss a group formation module of our proposed architecture and use an example as a test case to check the functionality of our proposed group formation approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Vermuyten, H., Beliën, J., De Boeck, L., Reniers, G., Wauters, T.: A review of optimisation models for pedestrian evacuation and design problems. Saf. Sci. 87, 167–178 (2016)
Lujak, M., Billhardt, H., Dunkel, J., Fernández, A., Hermoso, R., Ossowski, S.: A distributed architecture for real-time evacuation guidance in large smart buildings. Comput. Sci. Inf. Syst. 14(1), 257–282 (2017)
Lujak, M., Ossowski, S.: Intelligent people flow coordination in smart spaces. In: Rovatsos, M., Vouros, G., Julian, V. (eds.) EUMAS/AT - 2015. LNCS (LNAI), vol. 9571, pp. 34–49. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33509-4_3
Wagner, N., Agrawal, V.: An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster. Expert Syst. Appl. 41(6), 2807–2815 (2014)
Zheng, X., Zhong, T., Liu, M.: Modeling crowd evacuation of a building based on seven methodological approaches. Build. Environ. 44(3), 437–445 (2009)
Hughes, R.L.: A continuum theory for the flow of pedestrians. Transp. Res. Part B Methodol. 36(6), 507–535 (2002)
Xiong, M., Tang, S., Zhao, D.: A hybrid model for simulating crowd evacuation. New Gener. Comput. 31(3), 211–235 (2013)
Liu, H.: Context-aware agents in cooperative design environment. Int. J. Comput. Appl. Technol. 39(4), 187–198 (2010)
Liu, H., Sun, Y., Li, Y.: Modeling and path generation approaches for crowd simulation based on computational intelligence. Chin. J. Electron. 21(4), 636–641 (2012)
Abdelghany, A., Abdelghany, K., Mahmassani, H., Alhalabi, W.: Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities. Eur. J. Oper. Res. 237(3), 1105–1118 (2014)
Oxendine, C., Sonwalkar, M., Waters, N.: A multi-objective, multi-criteria approach to improve situational awareness in emergency evacuation routing using mobile phone data. Trans. GIS 16(3), 375–396 (2012)
Li, Y., Liu, H., Liu, G., Li, L., Moore, P., Hu, B.: A grouping method based on grid density and relationship for crowd evacuation simulation. Phys. A 473, 319–336 (2017)
Sentinel, Accuware. https://www.sentinelcv.com/. Accessed 15 Feb 2019
Temperature sensors, Texas Instruments incorporated. http://www.ti.com/sensors/temperature-sensors/overview.html. Accessed 15 Feb 2019
Intelligent smoke detectors, Kidde-Fenwal Systems. https://kidde-fenwal.com/Public/SystemDetails/Kidde-Fire-Systems/SmartOne-Intelligent-Smoke-Detectors. Accessed 15 Feb 2019
Talebi, K., Smith, J.M.: Stochastic network evacuation models. Comput. Oper. Res. 12(6), 559–577 (1985)
Acknowledgments
Work partially supported by the Autonomous Region of Madrid (grant “MOSI-AGIL-CM” (S2013/ICE-3019) co-funded by EU Structural Funds FSE and FEDER), project “SURF” (TIN2015-65515-C4-4-R (MINECO/FEDER)) funded by the Spanish Ministry of Economy and Competitiveness, and through the Excellence Research Group GES2ME (Ref. 30VCPIGI05) co-funded by URJC-Santander Bank.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 IFIP International Federation for Information Processing
About this paper
Cite this paper
Khalid, Q., Fernández, A., Lujak, M., Doniec, A. (2019). A Group Evacuation Method for Smart Buildings. In: Camarinha-Matos, L., Almeida, R., Oliveira, J. (eds) Technological Innovation for Industry and Service Systems. DoCEIS 2019. IFIP Advances in Information and Communication Technology, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-030-17771-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-17771-3_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-17770-6
Online ISBN: 978-3-030-17771-3
eBook Packages: Computer ScienceComputer Science (R0)