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This project will study the impacts of various driver compensation methods on overall safety and retention rates through expert briefings, data gathering, and possibly case studies or interviews with relevant industry and academic experts.
Background:This project...
The first objective of the project is to evaluate the safety of deaf and hard of hearing commercial motor vehicle (CMV) drivers by determining the crash rates of such drivers. The second objective is to identify and document procedures and recommendations that can be safely and...
Study the safety implications of interactions between humans and automated driving systems (ADSs) in emerging trucking operational scenarios.
Background:As safety and automation technology advances, new concepts of "team driving" are developing Examples include a...
The objective of the project is to conduct research on human factors related to automated driving systems (ADS)- equipped commercial motor vehicles (CMVs).
Background:FMCSA completed the study “Driver Limitations in Automated-Driving-System-Equipped Commercial...
To further research on the variability of brake performance in Automated Driving System (ADS) CMV operations. FY2020 research proposes to test a minimum of two FMCSA (SAE Level 2) tractor trailer combinations to provide a new dataset of brake performance data to ADS technology...
Project Goal:
To develop a causal model that will identify the potential changes to CMV drivers' roles under different Level 4 and Level 5 automation scenarios, and how current FMCSA policies and regulations may or may not be affected.
Background:Automation offers an...