Daily traffic flow forecasting is critical in advanced traffic management and can improve the
efficiency of fixed-time signal control. This paper presents a traffic prediction method for one …

Delft University of Technology oad traffic is the visible result of the complex interplay
between traffic demand (the amount and mix of vehicles arriving at a particular place and …

Travel time is an important performance measure for transportation systems, and
dissemination of travel time information can help travelers make reliable travel decisions …

There are numerous studies on traffic volume prediction, using either non-parametric or
parametric methods. The main shortcoming of parametric methods is low prediction …

Nowadays the problem of traffic congestion is known as the main cause of air pollution in the
cities of the world. Urban traffic engineers and managers have proposed three general …

Urban air pollution is a matter of growing concern for both public administrations and
citizens. Road traffic is one of the main sources of air pollutants, though topography …

Travel time is an effective measure of roadway traffic conditions. The provision of accurate
travel time information enables travelers to make smart decisions about departure time …

Severe traffic congestion has promoted the development of the Intelligent Transportation
System (ITS). Accurately analyzing and predicting the traffic states of the urban road …

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

Abstract Functional Data Analysis (FDA) is a collection of statistical techniques for the
analysis of information on curves or functions. This paper presents a new methodology for …