PATTERN RECOGNITION BASED SPEED FORECASTING METHODOLOGY FOR URBAN TRAFFIC NETWORK

PATTERN RECOGNITION BASED SPEED FORECASTING METHODOLOGY FOR URBAN TRAFFIC NETWORK

A full methodology of short-term traffic prediction is proposed for urban road traffic network via Artificial Neural Network (ANN). The goal of the forecasting is to provide speed estimation forward by 5, 15 and 30 min. Unlike similar research results in this field, the investigated method aims to p...

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Bibliographic Details
Main Authors: Tamás Tettamanti, Alfréd Csikós, Krisztián Balázs Kis, Zsolt János Viharos, István Varga
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2018-12-01
Series:Transport
Subjects:
urban traffic
pattern recognition
short-term forecasting
average speed
artificial neural network
Online Access:https://doi.org/10.3846/16484142.2017.1352027

Internet

https://doi.org/10.3846/16484142.2017.1352027

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