Accurate estimation of the traffic state can help to address the issue of urban traffic
congestion, providing guiding advices for people's travel and traffic regulation. In this paper …

Accurate short-term traffic flow prediction plays an indispensable role for solving traffic
congestion. However, the structure of traffic data is nonlinear and complicated. It is a …

Accurate traffic flow prediction is prerequisite and important for realizing intelligent traffic
control and guidance, and it is also the objective requirement for intelligent traffic …

Short-term prediction of traffic flow is essential for the deployment of intelligent transportation
systems. In this paper we present an efficient method for short-term traffic flow prediction …

We propose a novel approach for network-wide traffic state prediction where the statistical
time series model ARIMA is used to postprocess the residuals out of the fundamental …

Accurate short-term flow forecasting is important for the real-time traffic control, but due to its
complex nonlinear data pattern, getting a high precision is difficult. The support vector …

Traffic flow prediction plays a key role in intelligent transportation systems. However, since
traffic sensors are typically manually controlled, traffic flow data with varying length, irregular …

The prediction of short-term traffic flow is critical for improving service levels for drivers and
passengers as well as enhancing the efficiency of traffic management in the urban …

Accurate and timely forecasting of traffic parameters is crucial for effective management of
intelligent transportation systems. Travel time index (TTI) is a fundamental measure in …

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 …