Developing a Neural–Kalman Filtering Approach for Estimating Traffic Stream Density Using Probe Vehicle Data

This paper presents a novel model for estimating the number of vehicles along signalized approaches. The proposed estimation algorithm utilizes the adaptive Kalman filter (AKF) to produce reliable traffic vehicle count estimates, considering real-time estimates of the system noise characteristics. T...

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Detalles Bibliográficos
Autores principales: Aljamal, Mohammad A., Abdelghaffar, Hossam M., Rakha, Hesham A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806210/
https://www.ncbi.nlm.nih.gov/pubmed/31591292
http://dx.doi.org/10.3390/s19194325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806210/
https://www.ncbi.nlm.nih.gov/pubmed/31591292
http://dx.doi.org/10.3390/s19194325

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