Diesel heavy-duty drayage trucks (HDDTs) serving the Ports of Los Angeles and Long
Beach in Southern California are large contributors to regional air pollution, but cost remains …

Crash type is an informative indicator to infer driving behaviors and conditions that cause a
crash. For example, rear-end and side-swipe crashes are typically caused by improper …

In this paper, we present a novel and effective approach to truck and trailer classification,
which integrates deep learning models and conventional image processing and computer …

Connected vehicles (CVs) and their supporting infrastructure are expected to play an
important role in the management of traffic congestion. As highway expansion projects are …

Currently, there is a large deviation between official road freight data and real road freight
performance at a subnational level in China. In order to deal with this deviation, the new …

Freight transportation is a major economic backbone of the United States. Ports, as one of
the primary components of freight transportation, have experienced significant growth and …

The Federal Highway Administration (FHWA) vehicle classification scheme is designed to
serve various transportation needs such as pavement design, emission estimation, and …

Understanding human mobility patterns is crucial for urban planning, resource allocation,
and personalized recommendations. However, real-world trajectory data are rarely released …

A new hybrid sensor technology integrating existing weigh-in-motion axle configuration data
combined with inductive signature data obtained from advanced inductive loop detectors is …

Trucks are an essential element in freight movements, transporting 73% of freight tonnage
among all modes. However, they are also associated with severe adverse impacts on …