Traffic congestion occurs when traffic demand is greater than the available network capacity.
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …

One of the most important traffic parameters in Intelligent Transportation Systems
applications is travel time. Most recently Bluetooth sensors have been successfully used for …

In this paper, we present and analyze an algorithm for mapping discrete GPS data gathered
from vehicles to a continuous flow of data to determine the time to traverse a road section …

In recent years, the increased deployment of the infrastructure of intelligent transportation
systems has enabled the provision of real-time traveler information to the public. Many states …

Over the last decade, there has been a push towards the development and deployment of
Intelligent Transportation Systems (ITS) because of the many benefits that these systems …

Using archived traffic data from the Portland Oregon Regional Transportation Archive Listing
(PORTAL), this paper summarizes work to characterize the frequency, duration, and pattern …

The previous two chapters discussed the fundamental traffic stream parameters and
capacity, which provided the fundamental components for understanding traffic stream …

Abstract The Federal Highway Administration (FHWA) has set a high priority on the use of
existing dynamic message signs (DMS) to provide travel time estimates to the public. The …

The accuracy of real-time travel time information disseminated on metropolitan freeways is
one of the key issues in the development of advanced traveler information systems …

In this Chapter, travel time definitions are analytically presented. Also, a trajectory
reconstruction algorithm necessary in order to navigate between different travel time …