In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

This paper presents a trajectory clustering method to discover spatial and temporal travel
patterns in a traffic network. The study focuses on identifying spatially distinct traffic flow …

Probe vehicles provide some of the most useful data for road traffic monitoring because they
can acquire wide-ranging and spatiotemporally detailed information at a relatively low cost …

This paper proposes a method of estimating a traffic state based on probe vehicle data that
contain spacing and position of probe vehicles. The probe vehicles were assumed to …

Microscopic emission models estimate second-by-second emissions and fuel consumption
for individual vehicles based on vehicle trajectories. A vehicle trajectory describes how the …

Vehicle trajectories can provide a clear picture of the traffic flow that plays a pivotal role in
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …

Trajectory data collected from probe vehicles become increasingly important for urban traffic
operation and management. However, current data tend to be sparse in time and space due …

With trajectory data, a complete microscopic and macroscopic picture of traffic flow
operations can be obtained. However, trajectory data are difficult to observe over large …

Vehicle trajectories can provide a clear picture of traffic flow, which facilitates traffic state
estimation and signal control optimization at intersections. Connected and Automated …

Vehicular trajectory data collected by connected automated vehicles (CAVs) is minimal due
to the low penetration rates (PRs) of CAVs, and fail to capture the characteristics of traffic …