The unavoidable travel time variability in transportation networks, resulted from the
widespread supply-side and demand-side uncertainties, makes travel time reliability (TTR) …

Since the early 1980s, short-term traffic forecasting has been an integral part of most
Intelligent Transportation Systems (ITS) research and applications; most effort has gone into …

This article presents a methodology that integrates cumulative plots with probe vehicle data
for estimation of travel time statistics (average, quartile) on urban networks. The integration …

Automatic vehicle identification (AVI) systems are increasingly used for the collection of
traffic data in urban and freeway networks. Several methods have been proposed for the …

This study proposes an approach to modeling the effects of daily roadway conditions on
travel time variability using a finite mixture model based on the Gamma–Gamma (GG) …

Accurate classification and prediction of future traffic conditions are essential for developing
effective strategies for congestion mitigation on the highway systems. Speed distribution is …

This study develops a novel estimation method under low-frequency probe data using the
Bayesian approach. Given the challenges in estimating travel time under low-frequency …

This study aims to assess the Travel Time Reliability (TTR) in urban areas in Irbid city,
Jordan, using a mobile application (Ultra GPS Logger), which retains the current location …

The travel time distribution under interrupted flow based on radio frequency identification–
detected data is analyzed. The urban road network studied is in downtown Nanjing, Jiangsu …

This article introduces the Halphen distribution family for modeling travel time distributions
and their reliability on single road links. This probability family originally used in hydrology …