Traffic volume prediction plays a critical role in transportation system and infrastructure
management. This paper develops the first application of an unobserved component model …

Traffic volume is one of the fundamental types of data that have been used for the traffic
control and planning process. Forecasting needs and efforts for various applications will be …

The accurate modeling and forecasting of traffic flow data such as volume and travel time
are critical to intelligent transportation systems. Many forecasting models have been …

Accurate forecasting of Annual Average Daily Traffic (AADT) is vital to transportation
planning. The design of roads and analysis of alternative highway projects are dependent …

This paper attempts to develop time-series models for forecasting traffic volume in urban
arterials. The Box-Jenkins approach is used to estimate the time-series models. A 1-min …

The capability to forecast traffic volume in an operational setting has been identified as a
critical need for intelligent transportation systems (ITS). In particular, traffic volume forecasts …

Although several methods for short-term forecasting of traffic volume have recently been
developed, the literature lacks studies that focus on how to choose the appropriate …

Predictions for short-term traffic volume provide important inputs for traveler information and
traffic management. Traffic volumes in the near future are often estimated based on historical …

Traffic volume forecasts are used by many transportation analysis and management systems
to better characterize and react to fluctuating traffic patterns. Most current forecasting …

Forecasting traffic over a long period of time is of considerable interest and usefulness, but
accurate forecasting is very difficult. Traditional projection and factoring methods for mid-and …