Crowd Dynamics, Volume 5 : From Human Complexity to Scientific Machine Learning / edited by Livio Gibelli, Nicola Bellomo.

Format:

Book

Author/Creator:

Gibelli, Livio.

Contributor:

Gibelli

Series:

Modeling and Simulation in Science, Engineering and Technology, 2164-3725

Language:

English

Subjects (All):

Mathematical models.

Mathematics--Data processing.

Mathematics.

Differential equations.

Mathematical Modeling and Industrial Mathematics.

Computational Science and Engineering.

Differential Equations.

Local Subjects:

Mathematical Modeling and Industrial Mathematics.

Computational Science and Engineering.

Differential Equations.

Physical Description:

1 online resource (328 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Birkhäuser, 2026.

Summary:

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field. The volume begins by focusing on modeling at the macroscopic and microscopic scales, with chapters demonstrating how stress conditions evolve in time and space and influence pedestrian dynamics, particularly regarding high density patterns. Different aspects of behavioral dynamics are considered in the following chapters, which explore how mathematical models can incorporate parameters that capture shifts in people’s mental states. The final two chapters go beyond the usual modeling-based assumptions, discussing how control problems can be developed using drones to guide crowds and methods for interpreting crowd behavior using artificial intelligence, respectively. Crowd Dynamics, Volume 5 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds.

Contents:

Chapter 1. From the Complexity of Human Crowds to Research Perspectives

Chapter 2. Exploring Dense Crowd Dynamics: State of the Art and Emerging Paradigms

Chapter 3. Macroscopic modeling of crowd evacuation under stress: comparing first-order and second-order models

Chapter 4. On mathematical modeling of social crowds

Chapter 5. Evacuation movement and behaviour of preschool children

Chapter 6. Surveillance-guidance of crowds via Lagrangian controls

Chapter 7. Recent Deep Learning in Crowd Behaviour Analysis: A Brief Review.

ISBN:

3-032-02221-5

9783032022219