A Two-Phase Context-Aware Approach to Emergency Evacuation in Smart Buildings

  • Qasim KhalidEmail author
  • Alberto Fernández
  • Marin Lujak
  • Arnaud Doniec
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1047)


Evacuation in buildings during emergency situations is crucial to the safety of people, therefore a pragmatic response plan is desirable. Due to the lack of awareness in buildings, either occupants have to wait for instructions from the administration or to start following each other to find the best evacuation route for them on the basis of hit and trial method. In this regard, we present a context-aware smart architecture for evacuation that provides real-time evacuation routes to occupants with respect to their characteristics. We also put forward a two-phase group evacuation technique in which people evacuate in the form of groups under the supervision of experts so-called group leaders. The first phase handles the assembly of evacuees at their allotted collection points and in the second phase evacuees follow their group leaders to safe points. Group leaders are equipped with hand-held devices having live information of building, routes and their group members. A use case is also discussed in the paper as an application of the proposed technique.


Agent-based system Evacuation Semantic technology Knowledge representation Situation awareness Smart buildings 



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.


  1. 1.
    Intelligent smoke detectors, kidde-fenwal systems. Accessed 31 May 2019
  2. 2.
    Sentinel, accuware. Accessed 31 May 2019
  3. 3.
    Temperature sensors, texas instruments incorporated. Accessed 31 May 2019
  4. 4.
    Fruin, J.J.: Pedestrian planning and design. Technical report (1971)Google Scholar
  5. 5.
    Hughes, R.L.: A continuum theory for the flow of pedestrians. Transp. Res. Part B: Methodol. 36(6), 507–535 (2002)CrossRefGoogle Scholar
  6. 6.
    Li, Y., Liu, H., Liu, G.p., Li, L., Moore, P., Hu, B.: A grouping method based on grid density and relationship for crowd evacuation simulation. Phys. A: Stat. Mech. Appl. 473, 319–336 (2017)CrossRefGoogle Scholar
  7. 7.
    Liu, H.: Context-aware agents in cooperative design environment. Int. J. Comput. Appl. Technol. 39(4), 187–198 (2010)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Liu, H., Sun, Y., Li, Y.: Modeling and path generation approaches for crowd simulation based on computational intelligence. Chinese J. Electron. 21(4), 636–641 (2012)Google Scholar
  9. 9.
    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)CrossRefGoogle Scholar
  10. 10.
    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)CrossRefGoogle Scholar
  11. 11.
    Shi, J., Ren, A., Chen, C.: Agent-based evacuation model of large public buildings under fire conditions. Autom. Constr. 18(3), 338–347 (2009)CrossRefGoogle Scholar
  12. 12.
    Talebi, K., Smith, J.M.: Stochastic network evacuation models. Comput. Oper. Res. 12(6), 559–577 (1985)CrossRefGoogle Scholar
  13. 13.
    Thompson, P.A., Marchant, E.W.: Computer and fluid modelling of evacuation. Saf. Sci. 18(4), 277–289 (1995)CrossRefGoogle Scholar
  14. 14.
    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)CrossRefGoogle Scholar
  15. 15.
    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)CrossRefGoogle Scholar
  16. 16.
    Xiong, M., Lees, M., Cai, W., Zhou, S., Low, M.Y.H.: Hybrid modelling of crowd simulation. Procedia Comput. Sci. 1(1), 57–65 (2010)CrossRefGoogle Scholar
  17. 17.
    Xiong, M., Tang, S., Zhao, D.: A hybrid model for simulating crowd evacuation. New Gen. Comput. 31(3), 211–235 (2013)CrossRefGoogle Scholar
  18. 18.
    Zheng, X., Zhong, T., Liu, M.: Modeling crowd evacuation of a building based on seven methodological approaches. Build. Environ. 44(3), 437–445 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Qasim Khalid
    • 1
    Email author
  • Alberto Fernández
    • 1
  • Marin Lujak
    • 2
  • Arnaud Doniec
    • 2
  1. 1.Universidad Rey Juan CarlosMadridSpain
  2. 2.IMT Lille DouaiDouaiFrance

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