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 …

Lane nucleation in complex active flows

KA Bacik, BS Bacik, T Rogers - Science, 2023 - science.org
Laning is a paradigmatic example of spontaneous organization in active two-component
flows that has been observed in diverse contexts, including pedestrian traffic, driven colloids …

Analysis of emergent patterns in crossing flows of pedestrians reveals an invariant of 'stripe'formation in human data

P Mullick, S Fontaine, C Appert-Rolland… - PLoS computational …, 2022 - journals.plos.org
When two streams of pedestrians cross at an angle, striped patterns spontaneously emerge
as a result of local pedestrian interactions. This clear case of self-organized pattern …

Crowd characterization in surveillance videos using deep-graph convolutional neural network

S Behera, DP Dogra… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Crowd behavior is a natural phenomenon that can provide valuable insight into the crowd
characterization process. Modeling the visual appearance of a large crowd gathering can …

Heterogeneity-induced lane and band formation in self-driven particle systems

B Khelfa, R Korbmacher, A Schadschneider… - Scientific reports, 2022 - nature.com
The collective motion of interacting self-driven particles describes many types of coordinated
dynamics and self-organisation. Prominent examples are alignment or lane formation which …

Getting over the hump with KAMEL-LOBE: Kernel-averaging method to eliminate length-of-bin effects in radial distribution functions

SA Ghaffarizadeh, GJ Wang - The Journal of Chemical Physics, 2023 - pubs.aip.org
Radial distribution functions (RDFs) are widely used in molecular simulation and beyond.
Most approaches to computing RDFs require assembling a histogram over inter-particle …

Modelling vehicle and pedestrian collective dynamics: Challenges and advancements

C Appert-Rolland, A Nicolas, A Seyfried… - arxiv preprint arxiv …, 2024 - arxiv.org
In our urbanised societies, the management and regulation of traffic and pedestrian flows is
of considerable interest for public safety, economic development, and the conservation of …

Self-organization when pedestrians move in opposite directions. multi-lane circular track model

GH Goldsztein - Applied Sciences, 2020 - mdpi.com
When pedestrians walk along a corridor in both directions, a frequently observed
phenomenon is the segregation of the whole group into lanes of individuals moving in the …

A modified heuristics-based model for simulating realistic pedestrian movement behavior

WL Wang, HC Li, JY Rong, QQ Fan, X Han… - Chinese …, 2022 - iopscience.iop.org
Pedestrian movement simulation models are used in various areas, such as building
evacuation, transportation engineering, and safety management of large events. It also …

How information prospection facilitates spatial coverage of self-avoiding walks

J Cristín, V Méndez, D Campos - Journal of Statistical Mechanics …, 2021 - iopscience.iop.org
Abstract Information gathering and processing can be particularly useful to enhance the
efficiency of living organisms when searching or foraging under uncertain scenarios …