This paper presents a methodology for predicting the adoption rate of Connected
Autonomous Trucks (CATs) in transportation organizations using peer effects. There are a …

This paper predicts the future adoption of Connected Autonomous Truck (CAT) among
freight transportation organizations by incorporating the distance decay function-based …

This paper presents a model to estimate the future adoption of connected autonomous
trucks (CATs) by freight transportation organizations. An accurate estimation of the market …

This paper attempts to address two particular questions about the adoption of connected
autonomous trucks (CATs) by trucking companies:(i) what are the factors affecting the …

On the grounds that individuals heavily rely on the information that they receive from their
peers when evaluating adoption of a radical innovation, this paper proposes a new …

Connected and autonomous vehicles (CAVs) can revolutionize the daily travel modes,
personal, public, or shared mobility because of technology-assisted driving. However, such …

Considerable interest exists in modeling and forecasting the effects of autonomous vehicles
on travel behavior and transportation network performance. In an autonomous vehicle (AV) …

Autonomous vehicles (AVs) are expected to act as an economically-disruptive transportation
technology offering several benefits to the society and causing significant changes in travel …

The objective of this research is to understand the demand for information technology
among trucking companies. A multivariate discrete choice model is estimated on data from a …

Shared automated vehicles have the potential to revolutionize future transportation mode
choice. Because shared automated vehicles could be a disruptive transportation modal …