Optimal neural networks architectures for the flow-density relationships of traffic models

DOI10.1016/S0378-4754(02)00032-0zbMath1006.90019OpenAlexW2000441079MaRDI QIDQ1849847

Dimitri Lefebvre, Nadhir Messai, Abdellah El Moudni, Philippe Thomas

Publication date: 2 December 2002

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4754(02)00032-0

zbMATH Keywords

neural networkstraffic modelflow-density relationship

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Traffic problems in operations research (90B20)

Related Items (2)

Modeling traffic flow correlation using DFA and DCCA ⋮ Modelling public transport trips by radial basis function neural networks

Cites Work

• On kinematic waves II. A theory of traffic flow on long crowded roads
• Approximation by superpositions of a sigmoidal function

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