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Effects of Using Average Annual Daily Traffic (AADT) with Exogenous Factors to Predict Daily Traffic.

Authors :
Ratrout, Nedal T.
Gazder, Uneb
El-Alfy, El-Sayed M.
Source :
Procedia Computer Science; Jun2014, Vol. 32, p325-330, 6p
Publication Year :
2014

Abstract

Abstract: Traffic demand can be highly correlated to the exogenous factors that exist outside the road system under study. Factors like day of week, presence of vacation or salary disbursement or economic parameters are readily available and may affect traffic flow between two countries. Collection of traffic data on a consistent basis is a cumbersome process in terms of time and resources. Considering these two factors in mind, this paper investigated the feasibility of using exogenous factors with Average Annual Daily Traffic (AADT). It was found that inclusion of AADT for traffic prediction is beneficial and further analysis will be done in the future with detailed traffic data. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
18770509
Volume :
32
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
96350043
Full Text :
https://doi.org/10.1016/j.procs.2014.05.431