Open Dataset for Predicting Pilgrim Activities for Crowd Management During Hajj Using Wearable Sensors

Author:

Al-Shaery Ali M.1ORCID,Ahmed Soha G.2ORCID,Aljassmi Hamad2ORCID,Al-Hawsawi Abdullah N.3ORCID,Maksoud Nadia2ORCID,Tridane Abdessamad2ORCID,Farooqi Norah S.4ORCID

Affiliation:

1. Department of Civil Engineering, College of Engineering and Architecture, Umm Al-Qura University, Makkah, Saudi Arabia

2. Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Al Ain, United Arab Emirates

3. Department of Information and Scientific Services, Umm Al-Qura University, Makkah, Saudi Arabia

4. Department of Cybersecurity, Collage of Computing, Umm Al-Qura University, Makkah, Saudi Arabia

Funder

Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference48 articles.

1. Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects

2. Human behaviours in evacuation crowd dynamics: From modelling to “big data” toward crisis management

3. An empirical study of crowd and pedestrian dynamics: The impact of different angle paths and grouping;Gorrini;Transp. Res. Rec.,2013

4. Crowd and pedestrian dynamics: Empirical investigation and simulation;Bandini;Proc. Measuring Behav.,2012

5. Pedestrian, Crowd and Evacuation Dynamics

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