A Comprehensive Study on Pedestrians’ Evacuation

Authors

  • Danial Abdulkareem Muhammed Computer Department, College of Science, University of Sulaimani, Sulaymaniyah, Kurdistan, Iraq
  • Soran Abubakir Mohammed Saeed Sulaimania Polytechnic University, Sulaymaniyah, Kurdistan, Iraq
  • Tarik Ahmed Rashid Computer Science and Engineering, University of Kurdistan Hewler, Hewler, Kurdistan, Iraq

DOI:

https://doi.org/10.3991/ijes.v7i4.11767

Keywords:

Emergency evacuation, Participants’ emergency behavior, Evacuation time, Environment, Evacuation models

Abstract


Human beings face threats because of unexpected happenings, which can be avoided through adequate crisis evacuation plan, which is vital to stop wound and demise as its negative results. Consequently, different typical evacuation pedestrians have been created. Moreover, through applied research, these models for various applications, reproductions, and conditions have been examined to present an operational model. Furthermore, new models have been developed to cooperate with system evacuation in residential places in case of unexpected events. This research has taken into account an inclusive and a ‘systematic survey of pedestrian evacuation’ to demonstrate models methods by focusing on the applications’ features, techniques, implications, and after that gather them under various types, for example, classical models, hybridized models, and generic model. The current analysis assists scholars of this field of study to write their forthcoming papers about it, which can suggest a novel structure to recent typical intelligent reproduction with novel features.

Author Biographies

Danial Abdulkareem Muhammed, Computer Department, College of Science, University of Sulaimani, Sulaymaniyah, Kurdistan, Iraq

received the B.Sc. degree in the field of computer science from the University of Sulaimani, Iraq, in 2009, and the master’s degree (Hons.) in the field of software systems and internet technology from the University of Sheffield, U.K., in 2012. He is currently pursuing the Ph.D. degree with the University of Sulaimani, working in the field of Artificial Intelligence in the subject of Building Evacuation under Different Situations. He worked as an Assistant Programmer for nearly two years, and then continued his study in the University of Sheffield. After that, he joined the Department of computer science, University of Sulaimani, where he is currently affiliated with.

Soran Abubakir Mohammed Saeed, Sulaimania Polytechnic University, Sulaymaniyah, Kurdistan, Iraq

received the PhD degree in Computer Science (AI-CBR) 2006 University, London, UK. In 2001, He was representative of Sulaimani University for Scientific and Cultural affairs, Current position: Vice President for Scientific Affairs and Higher Education at Sulaimani Polytechnic University (SPU). He is Head the Board of eCourt System at Sulaimani Court in Iraq Developing by AKTORS company from Estonia. His research interests are Artificial Intelligence, E-Commerce, Information Security, Business Technology, Research Methodology, and Software Engineering.

Tarik Ahmed Rashid, Computer Science and Engineering, University of Kurdistan Hewler, Hewler, Kurdistan, Iraq

received the Ph.D. degree in computer science and informatics from the College of Engineering, Mathematical and Physical Sciences, University College Dublin (UCD), in 2006, where he was a Postdoctoral Fellow of the Computer Science and Informatics School, from 2006 to 2007. He joined the University of Kurdistan Hewlêr, in 2017. His research interests include three fields. The first field is the expansion of machine learning and data mining to deal with time series applications. The second field is the development of DNA computing, optimization, swarm intelligence, and nature inspired algorithms and their applications. The third field is networking, telecommunication, and telemedicine applications.

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Published

2019-12-10

How to Cite

Muhammed, D. A., Saeed, S. A. M., & Rashid, T. A. (2019). A Comprehensive Study on Pedestrians’ Evacuation. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 7(4), pp. 38–67. https://doi.org/10.3991/ijes.v7i4.11767

Issue

Vol. 7 No. 4 (2019)

Section

Papers

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