Prediction of Traffic Volumes on Egyptian National Highways Using Time Series Analysis

Abstract

Traffic volume is a fundamental measure that is used to serve different types of transportation-related applications at planning and operational levels. Traffic data collection is usually costly and hence, researchers started to adopt approaches to compensate for the scarcity of data and limited resources. In the past few decades, many effective approaches have been developed and applied to estimate/predict traffic volumes. Time series analysis is one of these valuable approaches where future values of traffic volumes at a facility are estimated using the time-relationships with past values. This research investigates the application