Short-term traffic condition forecasting has long been argued as essential for developing
proactive traffic control systems that could alleviate the growing congestion in the United …

Short term traffic flow forecasting has received sustained attention for its ability to provide the
anticipatory traffic condition required for proactive traffic control and management. Recently …

Aimed at providing the anticipatory ability for the proactive traffic control systems, a new
adaptive online short-term univariate traffic condition forecasting method is presented in this …

The specification of time intervals for data collection is a fundamental determinant of the
nature and utility of the resulting traffic condition data streams. In the context of short-term …

The day-to-day volatility of traffic series provides valuable information for accurately tracking
the complex characteristics of short-term traffic such as stochastic noise and nonlinearity …

Short-term traffic flow prediction is a critical aspect of Intelligent Transportation System.
Timely and accurate traffic forecasting results are necessary inputs for advanced traffic …

Conventionally, most traffic forecasting models have been applied in a static framework in
which new observations are not used to update model parameters automatically. The need …

This paper reports on real data testing of a real-time freeway traffic state estimator, with a
particular focus on its adaptive capabilities. The pursued general approach to the real-time …

Short‐term traffic flow forecasting is a fundamental and challenging task since it is required
for the successful deployment of intelligent transportation systems and the traffic flow is …

The objective of this paper is to present a new analytical tool that predicts highway
congestion in real time by utilizing a macroscopic traffic flow model, and to investigate a data …