This paper anticipates the impacts of self-driving or “autonomous” vehicles (AVs), shared
AVs, and Atrucks on travel across the Texas Triangle megaregion using year 2040 land use …

Increasing population and travel demand has prompted new efforts to model travel demand
across the United States. One such model is rJourney that estimates travel demand among …

This paper used an implementation of the land-use model SILO in Austin, Texas, over a 27-
year period with an aim to understand the impacts of the full adoption of self-driving vehicles …

Autonomous and connected vehicle technologies have the potential to bring profound
changes in travel behavior and transportation network performance with moderate to …

Automated vehicles are undergoing very rapid development and have potential to
revolutionize the existing transportation system. This paper investigates the impacts of …

Despite saving drivers' time and decreasing the number of crashes, connected and self-
driving or “autonomous” vehicles (CAVs) will increase vehicle-miles traveled (VMT) and thus …

High market penetration of autonomous vehicles (AVs) and connected-autonomous vehicles
(CAVs) is expected to impact transportation network performance, which is an important …

The emergence of automated vehicles holds great promise for the future of transportation.
Although commercial sales of fully self-driving vehicles will not commence for several more …

Fully autonomous vehicles (AVs) have the potential to considerably change urban mobility
in the future. This study simulates potential AV operating scenarios in the Greater Toronto …

Autonomous vehicles (AVs) hold great promise for increasing the capacity of existing
roadways and intersections, providing more mobility to a wider range of people, and are …