Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

Crowd Counting Mapping to make a Decision

Author 1: Enas Faisal Author 2: Azzam Sleit Author 3: Rizik Alsayyed
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 2 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090239

Abstract

Congestion typically occurs when the number of crowds exceeds the capacity of facilities. In some cases, when buildings have to be evacuated, people might be trapped in congestion and cannot escape from the building early enough which might even lead to stampedes. Crowd Congestion Mapping (CCM) is a system that enables organizations to find information about the crowd congestion in target places. This project provides the ability to make the right decision to determine the reasons that led to that and to do the appropriate procedures to avoid this from happening again by optimizing locations and dimensions of the emergency exits less congested path on the target places. The system collects crowd congestion data from the locations and makes it available to corporations via target map. The congestion is plotted on target place map, for example, the red line for highly congested location, the pink line for mildly congested location and green line for free flow of humans in the location.

Keywords

How to Cite this Article

Faisal, E., Sleit, A., & Alsayyed, R. (2018). Crowd Counting Mapping to make a Decision. International Journal of Advanced Computer Science and Applications, 9(2). https://doi.org/10.14569/IJACSA.2018.090239

Faisal, Enas, et al.. "Crowd Counting Mapping to make a Decision." International Journal of Advanced Computer Science and Applications, vol. 9, no. 2, 2018, https://doi.org/10.14569/IJACSA.2018.090239.

@article{Faisal2018,
  title     = {Crowd Counting Mapping to make a Decision},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {2},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Enas Faisal and Azzam Sleit and Rizik Alsayyed},
  doi       = {10.14569/IJACSA.2018.090239},
  url       = {https://doi.org/10.14569/IJACSA.2018.090239}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.