Abstract The United States (US) has experienced persistent truck driver shortages for the
past several decades, as demand for truckers has increased while individuals willing to fill …

An exposure-based traffic assignment (TA) model is used to quantify primary and secondary
fine particulate matter (PM2. 5) exposure from on-road vehicle flow on the Chicago …

Self-driving,'autonomous' vehicles (AVs) promise to change the world in profound ways. The
suggested benefits include safety, efficiency and accessibility. However, researchers and …

Despite the economic and social benefits of vehicle automation and platooning, the
penetration of automation in the trucking industry is concerning to the industry stakeholders …

This study identifies alternative occupations for heavy truck drivers and evaluates the
relative attractiveness of these alternatives in terms of compensation, ease of entry and …

This paper proposes a simulation framework that quantitatively assesses the direct and
indirect effects of connected and autonomous vehicles (CAVs) on a supply chain system by …

The transportation sector is undergoing a transformative shift, driven by advancements like
autonomous and electric vehicle technologies. In this research, we investigate employment …

Automated vehicle (AV) technology will bring about disruptive changes to transportation of
people and goods. To better understand such changes through macroscopic modeling …

Automated trucking could be deployed based on a'transfer hub'model. Human driven
tractors will haul loads from urban origins to transfer hubs at the edge of Interstates; …

The inefficiency of transporting goods contributes to reduced economic growth and
environmental sustainability in a country. Autonomous trucks (ATs) are emerging as a …