Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches
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 …
depending on many external factors. The topology of the scene and the interactions …
Lane nucleation in complex active flows
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 …
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
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 …
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
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 …
characterization process. Modeling the visual appearance of a large crowd gathering can …
Heterogeneity-induced lane and band formation in self-driven particle systems
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 …
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 …
Most approaches to computing RDFs require assembling a histogram over inter-particle …
Modelling vehicle and pedestrian collective dynamics: Challenges and advancements
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 …
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 …
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
Pedestrian movement simulation models are used in various areas, such as building
evacuation, transportation engineering, and safety management of large events. It also …
evacuation, transportation engineering, and safety management of large events. It also …
How information prospection facilitates spatial coverage of self-avoiding walks
Abstract Information gathering and processing can be particularly useful to enhance the
efficiency of living organisms when searching or foraging under uncertain scenarios …
efficiency of living organisms when searching or foraging under uncertain scenarios …