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