A review on crowd analysis of evacuation and abnormality detection based on machine learning systems

A Bahamid, A Mohd Ibrahim - Neural Computing and Applications, 2022 - Springer
Human crowds have become hotspot research, particularly in crowd analysis to ensure
human safety. Adaptations of machine learning (ML) approaches, especially deep learning …

A metaverse-based teaching building evacuation training system with deep reinforcement learning

J Gu, J Wang, X Guo, G Liu, S Qin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of IoT, virtual reality, cloud computing, and digital twin technologies,
the advent of metaverse has attracted increasing world attention. Metaverse integrates and …

Intelligent escape of robotic systems: A survey of methodologies, applications, and challenges

J Li, SX Yang - Journal of Intelligent & Robotic Systems, 2023 - Springer
Intelligent escape is an interdisciplinary field that employs artificial intelligence (AI)
techniques to enable robots with the capacity to intelligently react to potential dangers in …

[HTML][HTML] Adaptive cell-based evacuation systems for leader-follower crowd evacuation

MA Lopez-Carmona, AP Garcia - Transportation research part C: emerging …, 2022 - Elsevier
The challenge of controlling crowd movement at large events expands not only to the realm
of emergency evacuations but also to improving non-critical conditions related to operational …

Optimising crowd evacuations: Mathematical, architectural and behavioural approaches

M Haghani - Safety science, 2020 - Elsevier
This work is a systematic review of optimisation methods for pedestrian evacuations. The
focus is on interventional approaches that seek to improve evacuation efficiency rather than …

[HTML][HTML] SIMCD: SIMulated crowd data for anomaly detection and prediction

A Bamaqa, M Sedky, T Bosakowski, BB Bastaki… - Expert Systems with …, 2022 - Elsevier
Smart Crowd management (SCM) solutions can mitigate overcrowding disasters by
implementing efficient crowd learning models that can anticipate critical crowd conditions …

MagMonitor: Vehicle speed estimation and vehicle classification through a magnetic sensor

Y Feng, G Mao, B Chen, C Li, Y Hui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) is playing an increasingly important role in Intelligent Transportation
Systems (ITS) for real-time sensing and communication. In ITS, vehicle types, volume and …

Multi-objective optimization of evacuation route for heterogeneous passengers in the metro station considering node efficiency

X Yang, Y Yang, D Qu, X Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reasonable planning of passenger evacuation routes can directly improve evacuation
efficiency in the metro station. Considering the effect of traffic capacity at the node such as …

An optimal guidance strategy for fire evacuations: A hybrid modeling approach

K Wang, W Yuan, W Liang, Y Yao - Journal of Building Engineering, 2023 - Elsevier
Evacuation plans are subject to many restrictions in the event of a fire, and unreasonable
evacuation guidance methods can affect efficiency and even cause danger. In the current …

Toward cognitive digital twins using a BIM-GIS asset management system for a diffused university

S Meschini, L Pellegrini, M Locatelli… - Frontiers in Built …, 2022 - frontiersin.org
The integrated use of building information modeling (BIM) and geographic information
system (GIS) is promising for the development of asset management systems (AMSs) for …