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Title |
Inferring Crowd Trip Informatics Using Mobile App in Hajj |
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Author |
Emad Felemban, Faizan Ur Rehman, Atif Naseer and Sardar Asad Ali Biabani" |
| Citation |
Vol. 20 No. 9 pp. 76-83 |
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Abstract |
Millions of Muslims from different races, sectors, and cultures travel to Makkah Al-Mukarramah, Saudi Arabia, every year to perform Hajj. Because of their diversity, they act and behave uniquely from each other. Studying and understanding their behaviour is the key element to solve many crowd problems and to provide them with high satisfaction services. In this paper, we used smartphones as an instrument to collect crowd data during the Hajj. We developed a smartphone application to collect data from the pilgrim’s location while performing a stoning ritual in Mina during the three days of their stay. Every day pilgrims walk to Jamarat building to perform the rituals from their respective camps in groups of 250s. The collected data has been analyzed in space and time domains to identify the path used, starting time of the trip, the duration of the trip, and the speed of the movement. This analysis will help different researchers to understand the behaviour of the large crowd by using invasive and straightforward technology. |
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Keywords |
Crowd Management, Spatial Analysis, Temporal Analysis, Hajj, Mobile App, Visualization, Mina." |
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