IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i12p2171-d457247.html
   My bibliography  Save this article

An Improved Simulation Model for Pedestrian Crowd Evacuation

Author

Listed:
  • Danial A. Muhammed

    (Computer Department, College of Science, University of Sulaimani, Sulaymaniyah 46001, KRG, Iraq)

  • Tarik A. Rashid

    (Computer Science and Engineering Department, University of Kurdistan Hewler, Erbil 44001, KRG, Iraq)

  • Abeer Alsadoon

    (Department of Information Technology, School of Computing and Mathematics, Charles Sturt University, Sydney, Bathurst, NSW 2795, Australia)

  • Nebojsa Bacanin

    (Faculty of Informatics and Computing, Singidunum University, 11000 Belgrade, Serbia)

  • Polla Fattah

    (Software and Informatics Engineering Department, Engineering College, Salahaddin University-Erbil, Erbil 44001, KRG, Iraq)

  • Mokhtar Mohammadi

    (Department of Information Technology, Lebanese French University, Erbil 44001, KRG, Iraq)

  • Indradip Banerjee

    (Department of Computer Science and Engineering, University Institute of Technology, The University of Burdwan, Burdwan, West Bengal 713101, India)

Abstract

This paper works on one of the most recent pedestrian crowd evacuation models—i.e., “a simulation model for pedestrian crowd evacuation based on various AI techniques”—which was developed in late 2019. This study adds a new feature to the developed model by proposing a new method and integrating it into the model. This method enables the developed model to find a more appropriate evacuation area design regarding safety due to selecting the best exit door location among many suggested locations. This method is completely dependent on the selected model’s output—i.e., the evacuation time for each individual within the evacuation process. The new method finds an average of the evacuees’ evacuation times of each exit door location; then, based on the average evacuation time, it decides which exit door location would be the best exit door to be used for evacuation by the evacuees. To validate the method, various designs for the evacuation area with various written scenarios were used. The results showed that the model with this new method could predict a proper exit door location among many suggested locations. Lastly, from the results of this research using the integration of this newly proposed method, a new capability for the selected model in terms of safety allowed the right decision in selecting the finest design for the evacuation area among other designs.

Suggested Citation

  • Danial A. Muhammed & Tarik A. Rashid & Abeer Alsadoon & Nebojsa Bacanin & Polla Fattah & Mokhtar Mohammadi & Indradip Banerjee, 2020. "An Improved Simulation Model for Pedestrian Crowd Evacuation," Mathematics, MDPI, vol. 8(12), pages 1-14, December.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:12:p:2171-:d:457247
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/12/2171/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/12/2171/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cao, Shuchao & Fu, Libi & Song, Weiguo, 2018. "Exit selection and pedestrian movement in a room with two exits under fire emergency," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 136-147.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sami Abdulla Mohsen Saleh & A. Halim Kadarman & Shahrel Azmin Suandi & Sanaa A. A. Ghaleb & Waheed A. H. M. Ghanem & Solehuddin Shuib & Qusay Shihab Hamad, 2023. "A Tracklet-before-Clustering Initialization Strategy Based on Hierarchical KLT Tracklet Association for Coherent Motion Filtering Enhancement," Mathematics, MDPI, vol. 11(5), pages 1-21, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guofeng Ma & Sheng Tan & Shanshan Shang, 2019. "The Evaluation of Building Fire Emergency Response Capability Based on the CMM," IJERPH, MDPI, vol. 16(11), pages 1-15, June.
    2. Shi, Xiaomeng & Xue, Shuqi & Shiwakoti, Nirajan & Li, Dawei & Ye, Zhirui, 2022. "Examining the effects of exit layout designs on children pedestrians’ exit choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    3. Zhang, Dezhen & Huang, Gaoyue & Ji, Chengtao & Liu, Huiying & Tang, Ying, 2021. "Pedestrian evacuation modeling and simulation in multi-exit scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    4. Wang, Peng & Cao, Shuchao & Yao, Ming, 2019. "Fundamental diagrams for pedestrian traffic flow in controlled experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 266-277.
    5. Ren, Huan & Yan, Yuyue & Gao, Fengqiang, 2021. "Variable guiding strategies in multi-exits evacuation: Pursuing balanced pedestrian densities," Applied Mathematics and Computation, Elsevier, vol. 397(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:12:p:2171-:d:457247. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.