Crowd simulation has emerged in the last decade as a widely used method of visual effects,
computer games, and urban planning, etc. The improvement of hardware performance and …

This paper presents a survey and critical analysis of the mathematical literature on modeling
and simulation of human crowds taking into account behavioral dynamics. The main focus is …

Metaverse and intelligent transportation system (ITS) are disruptive technologies that have
the potential to transform the current transportation system by decreasing traffic accidents …

Critical and stressful situations can emerge in many different forms in our daily life.
Sometimes the stressful situations can be more serious in national or global level, such as …

Crowds can be subject to intrinsic and extrinsic sources of risk, and previous records have
shown that, in the absence of adequate safety measures, these sources of risk can …

Collision avoidance is critical in unmanned surface vehicles (USVs) and is especially
challenging in scenarios involving ships of different intelligence levels. To address this …

Convolution neural networks based methods can derive deep features from training images.
However, one challenge is that the dimension of the extracted image features increases …

Human and social factors are essential to transportation systems, yet top-down management
fails to consider them sufficiently. Consequently, management strategies are not tailored to …

The first part of our paper presents a general survey on the modeling, analytic problems, and
applications of the dynamics of human crowds, where the specific features of living systems …

As a key mission of the modern traffic management, crowd flow prediction (CFP) benefits in
many tasks of intelligent transportation services. However, most existing techniques focus …