High crowd density measurements from Ramadan at Makkah, 2025
DOI:
https://doi.org/10.14311/APP.2026.57.0135Keywords:
empirical crowd analysis, Ramadan pilgrim behaviour analysis, computer visionAbstract
We provide an extensive set of measurement data from Ramadan 2025 at Makkah, Kingdom of Saudi Arabia. Our data covers a wide set of locations around the Holy Mosque (Al Haram). Unlike previous studies of pilgrim flow in Makkah, we analyse the pilgrim behaviour over a large area and over a long period of time, which reveals interesting patterns over space and time.
Our dataset covers crowd movement in the high density, multi-cultural, multi-age, multi-fitness regime. This data is needed to better understand the movement and the behaviour of high density crowds in order to safely manage such crowds.
Analysing real, empirical, crowd flow as opposed to controlled experiments give rise to a number of challenges which are discussed in our paper.
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Copyright (c) 2026 Anders Johansson, Cameron Dobbie, Khaled Albostah, Rainald Löhner, Jürgen Bradatsch, Knut Haase, Yara Alshalhoub, Salim Al-Bosta

This work is licensed under a Creative Commons Attribution 4.0 International License.
