Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches

R Korbmacher, A Tordeux - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task
depending on many external factors. The topology of the scene and the interactions …

3D indoor environments in pedestrian evacuation simulations

R Xie, S Zlatanova, JB Lee - Automation in Construction, 2022 - Elsevier
Abstract Using three-dimensional (3D) indoor environments in pedestrian evacuation
simulations is increasingly active. However, a systemic review that reflects the latest …

Modeling crowd evacuation via behavioral heterogeneity-based social force model

W Wu, J Li, W Yi, X Zheng - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
With the increasing scale of crowds in public places, the study of modeling crowd evacuation
has become a significant research field. However, most previous research ignores to …

An incentive based road traffic control mechanism for covid-19 pandemic alike emergency preparedness and response

H Bi, WL Shang, Y Chen, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Covid-19 pandemic has hit hard on the highly-organised yet risk-vulnerable modern
societies, and has introduced new characteristics to large-scale emergencies, which feature …

Data-driven crowd modeling techniques: A survey

J Zhong, D Li, Z Huang, C Lu, W Cai - ACM Transactions on Modeling …, 2022 - dl.acm.org
Data-driven crowd modeling has now become a popular and effective approach for
generating realistic crowd simulation and has been applied to a range of applications, such …

Spatiotemporal attention-based pedestrian trajectory prediction considering traffic-actor interaction

X Zhou, W Zhao, A Wang, C Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate pedestrian trajectory prediction is significant and challenging for traffic-actor
protection and intelligent driving. However, most of the existing methods focus on pedestrian …

A simulation and machine learning based optimization method for integrated pedestrian facilities planning and staff assignment problem in the multi-mode rail transit …

H Zhang, B He, G Lu, Y Zhu - Simulation Modelling Practice and Theory, 2022 - Elsevier
To face the booming passenger flow volumes, the optimization of pedestrian facilities plans
and the associated staff assignment plans in the transfer station, including adjusting …

A generalized trajectories-based evaluation approach for pedestrian evacuation models

Y Xiao, J Xu, M Chraibi, J Zhang, C Gou - Safety science, 2022 - Elsevier
The fundamental diagram and self-organized phenomena in crowds are widely used to test
the applicability of evacuation models. These benchmarks are good indicators for the validity …

Application of cellular automata with improved dynamic analysis in evacuation management of sports events

J Xie, L Zhang - Journal of Sensors, 2022 - Wiley Online Library
In this paper, the cellular automaton simulation technology is applied to the evacuation
management of sports events, combined with the dynamic analysis method to analyze the …

Why they escape: Mining prioritized fuzzy decision rule in crowd evacuation

L Luo, B Zhang, B Guo, J Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For safety planning in crowd evacuation, it is important to predict the evacuation decisions
made by different individuals and understand the reasons behind these decisions. To this …