Cargando…
3D Markov Process for Traffic Flow Prediction in Real-Time
Recently, the correct estimation of traffic flow has begun to be considered an essential component in intelligent transportation systems. In this paper, a new statistical method to predict traffic flows using time series analyses and geometric correlations is proposed. The novelty of the proposed me...
Autores principales: | Ko, Eunjeong, Ahn, Jinyoung, Kim, Eun Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801525/ https://www.ncbi.nlm.nih.gov/pubmed/26821025 http://dx.doi.org/10.3390/s16020147 |
Ejemplares similares
-
Large-scale simulation of traffic flow using Markov model
por: Besenczi, Renátó, et al.
Publicado: (2021) -
Markov processes, Gaussian processes, and local times
por: Marcus, Michael B, et al.
Publicado: (2006) -
Continuous time Markov processes: an introduction
por: Liggett, Thomas M
Publicado: (2010) -
Multi-Vehicle Tracking via Real-Time Detection Probes and a Markov Decision Process Policy
por: Zou, Yi, et al.
Publicado: (2019) -
Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection
por: Kim, Daeho, et al.
Publicado: (2019)