Date of Award
2012
Call Number
QA76.87 .S85 2012
Document Type
Open Access Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Clare Bates Congdon
Second Advisor
David Bantz
Third Advisor
Charles Colgan
Keywords
Computer Science, Artificial Neural Networks
Abstract
In this thesis, I compare the forecasting accuracy of statistical models with artificial neural networks when predicting daily traffic counts on the Maine turnpike over holiday weekends.
Recommended Citation
Swain, Robert MS, "Predicting Traffic on the Maine Turnpike Using Artificial Neural Networks" (2012). All Student Scholarship. 94.
https://digitalcommons.usm.maine.edu/etd/94
