Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives

G Albi, N Bellomo, L Fermo, SY Ha, J Kim… - … Models and Methods …, 2019 - World Scientific
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 …

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 …

Socially compliant mobile robot navigation via inverse reinforcement learning

H Kretzschmar, M Spies, C Sprunk… - … Journal of Robotics …, 2016 - journals.sagepub.com
Mobile robots are increasingly populating our human environments. To interact with humans
in a socially compliant way, these robots need to understand and comply with mutually …

[HTML][HTML] Saving human lives: What complexity science and information systems can contribute

D Helbing, D Brockmann, T Chadefaux… - Journal of statistical …, 2015 - Springer
We discuss models and data of crowd disasters, crime, terrorism, war and disease
spreading to show that conventional recipes, such as deterrence strategies, are often not …

State-of-the-art crowd motion simulation models

DC Duives, W Daamen, SP Hoogendoorn - Transportation research part C …, 2013 - Elsevier
Currently, pedestrian simulation models are used to predict where, when and why
hazardous high density crowd movements arise. However, it is questionable whether …

Towards a mathematical theory of behavioral human crowds

N Bellomo, L Gibelli, A Quaini, A Reali - Mathematical Models and …, 2022 - World Scientific
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 …

[HTML][HTML] Crowd disasters as systemic failures: analysis of the Love Parade disaster

D Helbing, P Mukerji - EPJ Data Science, 2012 - Springer
Each year, crowd disasters happen in different areas of the world. How and why do such
disasters happen? Are the fatalities caused by relentless behavior of people or a …

A review of optimisation models for pedestrian evacuation and design problems

H Vermuyten, J Beliën, L De Boeck, G Reniers… - Safety science, 2016 - Elsevier
This article presents a review of the use of optimisation models for pedestrian evacuation
and design problems. The articles are classified according to the problem type that is …

Mutual anticipation can contribute to self-organization in human crowds

H Murakami, C Feliciani, Y Nishiyama, K Nishinari - Science Advances, 2021 - science.org
Human crowds provide paradigmatic examples of collective behavior emerging through self-
organization. Understanding their dynamics is crucial to help manage mass events and daily …

Agent-based modeling

D Helbing - Social self-organization: Agent-based simulations and …, 2012 - Springer
Since the advent of computers, the natural and engineering sciences have enormously
progressed. Computer simulations allow one to understand interactions of physical particles …