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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

Unique Identifier

JETIR2010068

Page Number

571-577

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Title

Road Traffic Speed Prediction using Multi-Source Data

ISSN

2349-5162

Cite This Article

"Road Traffic Speed Prediction using Multi-Source Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.571-577, October-2020, Available :http://www.jetir.org/papers/JETIR2010068.pdf

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Abstract

Traffic flow forecasting is of great importance for traffic safety, energy conservation and protection of the environment. Nonetheless, making reliable assumptions about traffic volumes is a difficult problem in the face of many external uncertainties. Many previous types of research only explore the usefulness of a single factor in their prediction and do multi-factor research rarely. As for the prediction of traffic flow, many past types of research focus primarily on the temporal distribution of traffic flow at a single point on the road, ignoring the correlation between spaces. As regards global forecasting, the mechanical view of traffic as images was logically far-fetched. Given the effects of several exogenous variables and the interaction between monitor locations, we are proposing a hybrid model to simultaneously predict traffic flow in multiple positions by combining the layer-wise structure with the Markov transition matrix (MTM). Specifically, we use the layer wise structure to capture traffic flow's periodicity,pattern, and nonlinearity characteristics and then generate the MTM that captures the dynamics expressed in the data and generates the corresponding distributions.

Key Words

Markov transition matrix (MTM), traffic, Xiamen

Cite This Article

"Road Traffic Speed Prediction using Multi-Source Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp571-577, October-2020, Available at : http://www.jetir.org/papers/JETIR2010068.pdf

Publication Details

Published Paper ID: JETIR2010068
Registration ID: 301654
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 571-577
ISSN Number: 2349-5162

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Cite This Article

"Road Traffic Speed Prediction using Multi-Source Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp571-577, October-2020, Available at : http://www.jetir.org/papers/JETIR2010068.pdf




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