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 …

Limited studies exist in the literature on demand related travel patterns, the analysis of which
requires a rich database of Origin Destination (OD) matrices with appropriate clustering …

Many approaches had been proposed for travel time prediction in these decades; most of
them focus on the predicting the travel time on freeway or simple arterial network. Travel …

Historical traffic patterns can be used for the prediction of traffic flows, as input for
macroscopic traffic models, for the imputation of missing or erroneous data and as a basis …

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 …

Congestion is increasing in many urban areas. This has led to a growing awareness of the
importance of accurate traffic-flow predictions. In this paper, we introduce a prediction …

Discovering traffic bottlenecks and taking action to alleviate congestion to enhance the
performance of a traffic network are the most important tasks for the advanced traffic …

Day-to-day traffic data has been widely used in transportation planning and management.
However, with the emerging of new technologies, one conventional assumption, on which …

Understanding travel patterns of vehicle can support the planning and design of better
services. In addition, vehicle clustering can improve management efficiency through more …

We are develo** a technique to predict travel time of a vehicle for an objective road
section, based on real time traffic data collected through a probe-car system. In the area of …