The rapid development in machine learning and in the emergence of new data sources
makes it possible to examine and predict traffic conditions in smart cities more accurately …

Understanding the behavior of human crowds is a key step toward a safer society and more
livable cities. Despite the individual variability and will of single individuals, human crowds …

Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …

This paper presents a review and critical analysis on the modeling of the dynamics of
vehicular traffic, human crowds and swarms seen as living and, hence, complex systems. It …

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 …

With the increasing of risk potential in crowded places, evacuation management becomes
practically important to ensure the safety of crowds. The studies of crowd evacuation in …

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 …

This book presents mathematical models and numerical simulations of crowd dynamics. The
core topic is the development of a new multiscale paradigm, which bridges the microscopic …

An historical overview of the development of traffic flow models is proposed in the form of a
model tree. The model tree shows the genealogy of four families: the fundamental relation …

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …