Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow
Author:
Affiliation:
1. Parsons Brinckerhoff, 909 Aviation Parkway, Suite 1500, Morrisville, NC 27560.
2. Department of Civil, Construction, and Environmental Engineering, North Carolina State University, 424B Mann Hall, 2501 Stinson Drive, Raleigh, NC 27695.
Abstract
Publisher
SAGE Publications
Subject
Mechanical Engineering,Civil and Structural Engineering
Link
http://journals.sagepub.com/doi/pdf/10.3141/2024-14
Reference11 articles.
1. Introduction to Time Series and Forecasting
2. Comparison of parametric and nonparametric models for traffic flow forecasting
3. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
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