Markov chain Monte Carlo based inverse modeling of traffic flows using GPS data

DOI10.3934/NHM.2013.8.803zbMath1274.90085OpenAlexW2079765469MaRDI QIDQ380250

Daniel B. Work, Olli-Pekka Tossavainen

Publication date: 13 November 2013

Published in: Networks and Heterogeneous Media (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/nhm.2013.8.803

zbMATH Keywords

parameter estimationMonte Carlotraffic flowcell transmission modelfundamental diagramMarkov Chain

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Hyperbolic conservation laws (35L65) Numerical analysis or methods applied to Markov chains (65C40) Traffic problems in operations research (90B20) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)

Related Items (3)

Traffic Networks via Neural Networks: Description and Evolution ⋮ MCMC-based-inverse-modeling-of-traffic ⋮ Estimating fundamental diagram for multi-modal signalized urban links with limited probe data

Uses Software

• GitHub

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