Traffic Networks via Neural Networks: Description and Evolution

DOI10.1007/978-3-030-56219-9_19OpenAlexW3107496067MaRDI QIDQ5048363

Alexandros Sopasakis

Publication date: 16 November 2022

Published in: Contributions to Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-56219-9_19

zbMATH Keywords

neural networkfiltertraffic signalsSAELSTMGRU

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)

Uses Software

• MCMC-based-inverse-modeling-of-traffic

Cites Work

• Markov chain Monte Carlo based inverse modeling of traffic flows using GPS data
• Traffic flow: A statistical physics point of view
• Micro- and macro-simulation of freeway traffic
• Lattice Free Stochastic Dynamics
• Error Analysis of Coarse‐Graining for Stochastic Lattice Dynamics
• Coarse-grained stochastic processes for microscopic lattice systems
• Stochastic Modeling and Simulation of Traffic Flow: Asymmetric Single Exclusion Process with Arrhenius look-ahead dynamics

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