Reconstruction of dynamical equations for traffic flow

DOI10.1016/S0375-9601(02)00288-8zbMath0996.90018arXivphysics/0110084OpenAlexW2105206328WikidataQ57664226 ScholiaQ57664226MaRDI QIDQ1604151

S. Kriso, Rudolf Friedrich, Joachim Peinke, Peter Wagner

Publication date: 3 July 2002

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/physics/0110084

zbMATH Keywords

fixed pointsLangevin equationstochastic dynamics

Mathematics Subject Classification ID

Traffic problems in operations research (90B20)

Related Items (11)

Deterministic and stochastic features of rhythmic human movement ⋮ Stochastic time series with strong, correlated measurement noise: Markov analysis in \(N\) dimensions ⋮ Detrended fluctuation analysis of the Ornstein-Uhlenbeck process: Stationarity versus nonstationarity ⋮ An iterative procedure for the estimation of drift and diffusion coefficients of langevin processes ⋮ Kernel-based regression of drift and diffusion coefficients of stochastic processes ⋮ Finite sampling interval effects in Kramers-Moyal analysis ⋮ From a cellular automaton model of tumor-immune interactions to its macroscopic dynamical equation: a drift-diffusion data analysis approach ⋮ Estimating Kramers-Moyal coefficients in short and non-stationary data sets ⋮ Bivariate time-periodic Fokker-Planck model for freeway traffic ⋮ Maximum likelihood estimation of drift and diffusion functions ⋮ Can log-periodic power law structures arise from random fluctuations?

Cites Work

• The Fokker-Planck equation. Methods of solution and applications.
• Experimental features of the emergence of moving jams in free traffic flow
• Experimental Features of Self-Organization in Traffic Flow

This page was built for publication: Reconstruction of dynamical equations for traffic flow