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Analyzing Pedestrian Crossflow Through Complex Transfer Corridors

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Advances in Information and Communication (FICC 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1363))

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Large gatherings which are commonly allied with spatial and temporal constraints possess several managerial challenges. As far as walking is considered as a sustainable mode of pedestrian movement with crowd safety as the core objective, hosting authorities put relentless efforts to analyze crowd dynamics and provide with pre- and during event mobility plans. In this paper, we present our ongoing research about analyzing pedestrian movement of a very large annual gathering, the Hajj, where topographical nature of the hosting city Makkah proffer complex network of straight, circular, Y, L, T shape transfer corridors. Moreover, Hajj crowd diversity in terms of race, age and language makes it more laborious for the hosting authorities to tackle pedestrians crossflow to avoid any possible stampede. As a part of our study, we have analyzed the mobility of a group of pilgrims approaching the Jamarat bridge through a less complicated route that contained a L-shape transfer corridor. Pilgrims’ movement was recorded through GPS sensory data with a timestamp by deploying a mobile phone application, during the Hajj 2019 event. The initial outcomes led us to go on modelling and then simulating multiple scenarios of pedestrians’ movement through the network of complex corridors. We aim that our findings will support in designing optimized mobility plans by considering routes’ capacity and available time to accommodate all groups.

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The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through project number 0909. Also, we would like to thank Ministry of Haj and Umrah, Saudi Arabia for providing the required data and resources.

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Correspondence to Faizan Ur Rehman .

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Felemban, E., Rehman, F.U., Ahmad, A., Obaidi, S.S. (2021). Analyzing Pedestrian Crossflow Through Complex Transfer Corridors. In: Arai, K. (eds) Advances in Information and Communication. FICC 2021. Advances in Intelligent Systems and Computing, vol 1363. Springer, Cham.

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