Prediction architecture of deep learning assisted short long term neural network for advanced traffic critical prediction system using remote sensing data

Prediction architecture of deep learning assisted short long term neural network for advanced traffic critical prediction system using remote sensing data

This paper presents a Neural Convolutional Network (NCN) based approach for learning traffic as images and predicting high accuracy network-wide broad traffic speed. In the recent past, images describe time and space of traffic flow, where a 2-dimensional time-space matrix is used to convert space d...

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Bibliographic Details
Main Authors:	Wei Wang, R. Dinesh Jackson Samuel, Ching-Hsien Hsu
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2020-07-01
Series:	European Journal of Remote Sensing
Subjects:	data extraction neural convolutional short long term and dynamic nonlinear traffic
Online Access:	http://dx.doi.org/10.1080/22797254.2020.1755998

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