Autonomous vehicles (AVs) are expected to reshape travel behaviour and demand in part
by enabling productive uses of travel time—a primary component of the “positive utility of …

This paper demonstrates a unique and promising approach to study driver-bicyclist
interactions from a driver's perspective by using in-vehicle sensory data from naturalistic …

Although vehicle automation technology has experienced rapid gains in recent years, little
research has been conducted on the potential impacts of self-driving vehicles on long …

Based on calls for innovative ways of reducing car traffic and research indicating that car
driving is often the result of habitual decision-making and choice processes, this paper …

Self-driving vehicles are expected to improve road safety, improve the mobility of those who
currently cannot use conventional vehicles, and reduce emissions. In this white paper we …

While cities across the world invest in public transport solutions, car sales and congestion
continue to rise. Converting commuters to new forms of transport is far from a trivial matter …

From early studies of time allocation onward, it has been acknowledged that the “productive”
nature of travel could affect its utility. Currently, at the margin an individual may choose …

Autonomous vehicles, understood as vehicles that do not require manual steering, will
cause disruptive changes in the transportation sector. Many studies on autonomous vehicles …

Autonomous vehicles (AV's) are appearing on roads, based on standard robotic mapping
and navigation algorithms. However their ability to interact with other road-users is much …

Autonomous vehicles (AV) are poised to induce disruptive changes, with significant
implications for the economy, the environment, and society. This article reviews prior …