Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …

The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

Travel time has long been an important performance measure for assessing traffic
conditions and the extent of highway congestion. However, recently, more and more …

Travel time estimation models, which rely on speed data provided from point detectors
(usually inductive loops), have application in travel time prediction and network performance …

Loop detectors are the oldest and widely used traffic data source. On urban arterials, they
are mainly installed for signal control. Recently state-of-the art Bluetooth MAC Scanners …

Travel time is an important measurement used to evaluate the extent of congestion within
road networks. This paper presents a new method to estimate the travel time based on an …

In this article, we propose a Trajectory Reconstruction Model as an improvement to existing
speed-based travel time estimation models. The proposed model utilizes point-based speed …

A piecewise truncated quadratic speed trajectory is proposed to mimic the unknown speed
trajectory between point detectors. The basis functions of the new method consist of …

This paper presents a framework for the development of the travel time estimation model
using multiple sources of data with consideration of spurious data and traffic conditions. A …

This paper investigates the performance of a flow model in providing efficient travel-time
estimation for varying flow patterns of freeway traffic by adopting a two-phase fundamental …