Origin-destination (OD) pattern estimation is a vital step for traffic simulation applications and
active urban traffic management. Many methods have been proposed to estimate OD …

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 …

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 …

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 …

This manuscript focused on analyzing electric vehicles'(EV) charging behavior patterns with
a functional data analysis (FDA) approach, with the goal of providing theoretical support to …

Trajectory data provide a rich source of information on spatial and temporal speed
fluctuations of individual vehicles. To assemble a complete picture of traffic operations …

Identifying traffic bottlenecks is a prerequisite to alleviate traffic congestion in urban
networks. However, the state-of-the-art methods for bottleneck identification stay at the …

Most early research on route choice behavior analysis relied on the data collected from the
stated preference survey or through small‐scale experiments. This manuscript focused on …

On‐board data of detected vehicles play a critical role in the management of urban road
traffic operation and the estimation of traffic status. Unfortunately, due to limitations of …

Sparse trajectory data with non-second-by-second sampling intervals are common.
However, most carbon emission estimation models for vehicles require second-by-second …