A5002333483- Evacuation and Crowd Dynamics
- Traffic control and management
- Traffic and Road Safety
- Travel-related health issues
- Video Surveillance and Tracking Methods
- Mobile Crowdsensing and Crowdsourcing
- Fire Detection and Safety Systems
- Advanced Neural Network Applications
- Anomaly Detection Techniques and Applications
- Transportation Planning and Optimization
- Teacher Education and Assessments
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- IoT and GPS-based Vehicle Safety Systems
Umm al-Qura University
2021-2025
The University of Melbourne
2020-2022
Crowd counting in aerial images presents unique challenges due to varying altitudes, angles, and cluttered backgrounds. Additionally, the small size of targets, often occupying only a few pixels high-resolution images, further complicates problem. Current crowd models struggle these complex scenarios, leading inaccurate counts, which are crucial for management. Moreover, regression-based provide total count without indicating location or distribution people within environment, limiting their...
Automated crowd counting is a crucial aspect of surveillance, especially in the context mass events attended by large populations. Traditional methods manually people attending an event are error-prone, necessitating development automated methods. Accurately estimating counts across diverse scenes challenging due to high variations sizes human heads. Regression-based crowd-counting often overestimate low-density situations, while detection-based models struggle high-density scenarios...
This study aims to create and examine a multimodal dataset enhance crowd management during the Hajj seasons. Sixty-four participants were engaged in rituals such as Tawaf, Saai, prayer, Doaa providing location peripheral physiological data, collected annotated using custom-made smartphone application. The data was leveraged conduct comprehensive analysis, specifically focusing on classification of type activity, level fatigue, emotional states based signals. Three deep learning models...
Annually, a huge number of pilgrims visit Mecca to perform Al Hajj ritual. Crowd management is critical in this occasion order avoid crowd disasters (e.g., stampede and suffocation). Recent studies stated that various factors, such as the environment, fatigue level, health condition emotional status have significant effect on crowded events. This calls for need an automated data analytics system feeds event organizers with information about those factors real-time, at least from...
Modelling and simulating pedestrian motions are standard ways to investigate crowd dynamics aimed enhance pedestrians’ safety. Movement of people is affected by interactions with one another the physical environment that it may be a worthy line research. This paper studies impact speed on how pedestrians respond obstacles (i.e. Obstacles avoidance behaviour). A field experiment was performed in which group were instructed perform some tasks at two levels normal high speeds. Trajectories...
As a result of the geometric constraints stairs, pedestrian movement features on stairways are different from level ambulation. Therefore, it is necessary for us to consider stairs' three-dimensional geometry when we try explore how stair configuration affects efficiency. Based fundamental previous single-file experiment investigated flow under various configurations with an improved agent-based model. Our simulated indicates that both inclinations and tread depth step sensitive dynamic...
The aim of this study is to understand the collective movements individuals and observe how interact within a physical environment in crowd dynamic, which has drawn attention many researchers. We conducted an experimental interactions motions people identify characteristics pedestrians when passing obstacles different sizes (bar-shaped, 1.2 m, 2.4 3.6 m 4.8 m), going through one narrow exit employing three flow rates walking running conditions. According results our study, there were no...
The annual Hajj pilgrimage, held in the holy city of Makkah, requires meticulous planning and management to ensure a smooth execution. This includes continuous analysis monitoring crowd, allowing authorities proactively identify address any potential issues. Researchers have utilized digital technologies develop modern crowd methods strategies for regulating mass gatherings creating supportive services all participants. In this paper, our objective is highlight challenges faced by pilgrims...