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 …

In the urban signalized network, travel time estimation is a challenging subject especially
because urban travel times are intrinsically uncertain due to the fluctuations in traffic …

Taxicabs equipped with Global Positioning System (GPS) devices can serve as useful
probes for monitoring the traffic state in an urban area. This paper presents a new …

In building intelligent transportation systems such as taxi or rideshare services, accurate
prediction of travel time and distance is crucial for customer experience and resource …

Travel time is widely recognized as an important performance measure for assessing
highway operating conditions. There are two methods for obtaining travel time: direct …

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 …

Accurate estimation and prediction of urban link travel times are important for urban traffic
operations and management. This paper develops a Bayesian mixture model to estimate …

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 …