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

Maritime traffic flow complexity is the factor that presents in most existing maritime safety
analysis methods. It is considered as one of the main influencing factors affecting maritime …

The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

Congestion, whether recurrent or non-recurrent, propagates through the road network. The
process of congestion propagation from a particular road to its neighbors can be regarded …

Existing fixed-time traffic signal optimization methods mainly use traffic volumes collected by
infrastructure-based detectors (eg, loop detectors). These infrastructure-based detectors …

A great challenge for intelligent transportation systems (ITS) is missing traffic data. Traffic
data are input from various transportation applications. In the past few decades, several …

Abstract Knowledge of trip travel times serves an important role in transportation
management and control. Existing travel time estimation approaches generally cover …

Context-specific research are necessary to promote public transit by optimizing the built
environment in the process of urban renewal. Using data of residential travel survey in …

The development of technologies related to connected and automated vehicles (CAVs)
allows for a new approach to collect vehicle trajectory. However, trajectory data collected in …

Urban travel time information is of great importance for many levels of traffic management
and operation. This paper develops a tensor-based Bayesian probabilistic model for …