Home Skip to main content

MPC Research Reports
Filter by Keyword

7 report(s) found with driving in the keywords field
1 - 7 of 7
 

Connected autonomous vehicle (CAV) technology has the potential to enable significant gains in energy economy (EE). Much research attention has been focused on autonomous eco-driving control enabled by various methods. In this study, the state of the literature on autonomous eco-driving control is reviewed...

Studies of self-regulation suggest that monitoring is essential for task performance and the attainment of goals. Research was conducted to investigate factors affecting the monitoring of driving and driving safety. Participants drove on a simulator course while discussing emotional topics or daily routines....

Multitasking may diminish the self-awareness of performance that is often essential for self-regulation and self-knowledge. Participants in an experiment drove on a simulator while talking or not talking on a cell phone. The errors they made while driving were recorded. Following previous research, participants...

Older drivers are overrepresented in motor vehicle crash fatalities. As the U.S. population continues to age, this problem will grow. Health care providers (HCPs) are in a position to provide their older patients with education which may prevent further motor vehicle fatalities. Rural older adults are...

Motorcycle use brings increased risk to the operator simply by the nature of the vehicle. When a crash occurs, the threat of injury or death is magnified by physical exposure compared to that of other vehicle occupants. Detection and gap/speed judgments by other motorists present additional hazards to...

This report describes the University of Utah Traffic Lab (UTL) driving simulator, and a scenario development for Flex Lanes driving simulation. The first part describes the driving simulator in details. At the time of installation, the UTL driving simulator was unique and the first to join microsimulation...

UTL compared the intersections with an Advanced Warning System (AWS) to an intersection without AWS. They found that the AWS in St. George was not effective in reducing the number of drivers in DZs. Although 90% of drivers responded positively by reducing their speed when the signal was flashing, most...

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050
(701)231-7767ndsu.ugpti@ndsu.edu