Imagen de Portada

CosIn: A Statistical-based Algorithm for Computation of Space-speed Time Delay in Pedestrian Motion

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Jinghui, Lv, Wei, Cao, Shuchao, Wang, Zhensheng
Formato:	Preprint
Publicado:	2024
Materias:	Physics and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CosForce: A Force-Based General Pedestrian Model with Anticipation and Reaction Mechanisms
por: Wang, Jinghui, et al.
Publicado: (2024)

A Galton Board Approximation Method for Estimating Pedestrian Walking Preferences within Crowds
por: Wang, Jinghui, et al.
Publicado: (2024)

A Kinematic Constraint on Pedestrian Walking: Power-law Scaling between Critical Angular Velocity and Speed
por: Wang, Jinghui, et al.
Publicado: (2025)

Discrepancies in Pedestrian Crossing of Static vs. Dynamic Crowds: An Experimental Study
por: Wang, Jinghui, et al.
Publicado: (2024)

Exploring Braess' paradox in pedestrian evacuation traffic: experiment and modeling
por: Wang, Jinghui, et al.
Publicado: (2025)

Synchronization in Traffic Dynamics: Mechanisms of Hysteresis
por: Wang, Jinghui, et al.
Publicado: (2026)

A cellular automata approach for modelling pedestrian-vehicle mixed traffic flow in urban city
por: Wang, Jinghui, et al.
Publicado: (2024)

Nonreciprocal interactions in crowd dynamics: investigating the impact of moving threats on pedestrian speed preferences
por: Xie, Shaocong, et al.
Publicado: (2024)

Automatic Estimation of Pedestrian Gait Features using a single camera recording: Algorithm and Statistical Analysis for Gender Difference and Obstacle Interactions
por: Jain, Kanika, et al.
Publicado: (2025)

Pedestrian models with congestion effects
por: Aceves-Sanchez, Pedro, et al.
Publicado: (2023)

Hybrid Machine Learning and Physics-based Modelling of Pedestrian Pushing Behaviours at Bottlenecks
por: Xu, Qiancheng, et al.
Publicado: (2024)

Pedestrian mobility citizen science complements expert mapping for enhancing inclusive neighborhood placemaking
por: Larroya, Ferran, et al.
Publicado: (2025)

CrowdEgress: A Multi-Agent Simulation Platform for Pedestrian Crowd
por: Wang, Peng, et al.
Publicado: (2024)

Eliminating Bias in Pedestrian Density Estimation: A Voronoi Cell Perspective
por: Mullick, Pratik, et al.
Publicado: (2024)

Assessment of Latent Pedestrian-Vehicle Interaction Risk Profiles at Midblock Crossing in VR
por: Al-Haideri, Rulla, et al.
Publicado: (2026)

Variable Goal Approach (VGA) Enhancing Pedestrian Dynamics Modeling
por: Jain, Kanika, et al.
Publicado: (2025)

City-Scale Assessment of Pedestrian Exposure to Air Pollution: A Case Study in Barcelona
por: Armengol, Jan Mateu, et al.
Publicado: (2024)

Comprehensive Review and New Analysis Software for Single-file Pedestrian Experiments
por: Subaih, Rudina, et al.
Publicado: (2024)

Fluid-Based Analysis of Pedestrian Crowd at Bottlenecks
por: Wang, Peng N., et al.
Publicado: (2013)

Benchmarking Pedestrian Dynamics Models for Common Scenarios: An Evaluation of Force-Based Models
por: Jain, Kanika, et al.
Publicado: (2025)

Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Study at the Fête des Lumières in Lyon
por: Dufour, Oscar, et al.
Publicado: (2024)

Pedestrian Flow Analysis in High-Density Crowds: Continuity Equation with Voronoi-Based Fields
por: Adrian, Juliane, et al.
Publicado: (2024)

Modelling Pedestrian Behaviour in Autonomous Vehicle Encounters Using Naturalistic Dataset
por: Al-Haideri, Rulla, et al.
Publicado: (2026)

Pedestrian fluxes in confined geometric networks: entropic measures and robustness of accessibility in a university campus
por: Cerioli, Adamo, et al.
Publicado: (2025)

Correlations in Motion: A Simple Response-Based Analysis of Traffic Flow
por: Gartzke, Sebastian, et al.
Publicado: (2024)

Pedestrian evacuations with imitation of cooperative behavior
por: Zablotsky, Amir, et al.
Publicado: (2024)

Conflict Avoidance in Pedestrian Merging in Controlled Experiments by Variance Indicator
por: Zhang, Jiawei, et al.
Publicado: (2026)

The gold-rush effect: how innovation speeds up
por: Bellina, Alessandro, et al.
Publicado: (2026)

Dimensionless Numbers Reveal Distinct Regimes in the Structure and Dynamics of Pedestrian Crowds
por: Cordes, Jakob, et al.
Publicado: (2023)

Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
por: Zhang, Yatao, et al.
Publicado: (2024)

Scaling Pedestrian Crossing Analysis to 100 U.S. Cities via AI-based Segmentation of Satellite Imagery
por: Moran, Marcel, et al.
Publicado: (2025)

How fast is my model? APS: A framework to systematically assess the computational speed of pedestrian models
por: Sparnaaij, M., et al.
Publicado: (2025)

Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach
por: Hossain, Ahmed, et al.
Publicado: (2026)

Pedestrian Safety and Traffic Operations Around Near-Side Versus Far-Side Transit Stops: Emerging Observational Evidence from Utah
por: Mandolakani, Fariba Soltani, et al.
Publicado: (2024)

Computational Redistricting of Iowa's Congressional Districts
por: Wang, Stefanie G., et al.
Publicado: (2025)

Geographic Space as Manifolds
por: Jiang, Hezhishi, et al.
Publicado: (2024)

Bounded-METANET: A new discrete-time second-order macroscopic traffic flow model for bounded speed
por: Zhao, Weiming, et al.
Publicado: (2025)

Resilience patterns in higher-order meta-population networks
por: Nie, Yanyi, et al.
Publicado: (2024)

From GEV to ResLogit: Spatially Correlated Discrete Choice Models for Pedestrian Movement Prediction
por: Al-Haideri, Rulla, et al.
Publicado: (2026)

The Statistical Signature of LLMs
por: Hadad, Ortal, et al.
Publicado: (2026)