White and relaxed noises in optimal velocity models for pedestrian flow with stop-and-go waves

DOI10.1088/1751-8113/49/18/185101zbMath1345.60109OpenAlexW2314198595WikidataQ59240643 ScholiaQ59240643MaRDI QIDQ2991871

Antoine Tordeux, Andreas Schadschneider

Publication date: 10 August 2016

Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/abd2224d64dcdf13e67bf8ec04ffda25a0e2e73a

zbMATH Keywords

white noisestop-and-go wavespedestrian dynamicsoptimal velocity modelrelaxed noisestatistical parameter calibration

Mathematics Subject Classification ID

White noise theory (60H40) Traffic problems in operations research (90B20) Applications of queueing theory (congestion, allocation, storage, traffic, etc.) (60K30)

Related Items (5)

On the emergence of traffic jams in a stochastic traffic flow driven by additive and multiplicative white Gaussian noise processes ⋮ An optimal velocity estimation (OVE) model based on non-empirical formula ⋮ A pedestrian flow model with stochastic velocities: microscopic and macroscopic approaches ⋮ Spontaneous Wave Formation in Stochastic Self-Driven Particle Systems ⋮ Artificial Neural Networks for the Estimation of Pedestrian Interaction Forces

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