| Title | Driving Automation Systems in Long-Haul Trucking and Bus Transit: Preliminary Analysis of Potential Workforce Impacts - Report to Congress, January 2021 |
|---|---|
| Record ID | 79508 |
| Corporate Creator | United States. Department of Transportation |
| Corporate Contributor |
United States. Department of Transportation; United States. Department of Labor; United States. Department of Commerce; United States. Department of Health and Human Services |
| Publisher | United States. Department of Transportation |
| Publication Date | 20210100 |
| Language | English |
| Abstract | This report summarizes the potential impacts of driving automation on segments of the professional driving workforce in the United States, based largely on an analysis of published research findings and existing data sources. This section describes the scope, context, and methodology; following sections discuss potential workforce impacts, associated human factors topics, and training resources. The report was developed by the United States Department of Transportation (U.S. DOT) in coordination with the Department of Labor (DOL), Department of Commerce (DOC), and Department of Health and Human Services (HHS). The 2018 Consolidated Appropriations Act provided funding to the Secretary of Transportation for highly automated vehicle research and development, and requested that U.S. DOT, in consultation with the Secretary of Labor, “conduct a comprehensive analysis of the impact [of] ADAS [Advanced Driver Assistance Systems] and HAV [Highly Automated Vehicle] technologies on drivers and operators of commercial motor vehicles, including labor displacement.” This report interprets “drivers of commercial motor vehicles” as covering holders of a commercial driver’s license (CDL) for whom driving is their primary job responsibility. The report scope further narrows to two sectors: long-haul trucking and transit buses.3 While other driving occupations will surely be impacted by the introduction of driving automation systems, long-haul trucking and transit both present potential opportunities and fall under the oversight of Federal agencies. |
| Rosap ID | dot:54595 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/54595 |
| TRT Terms | Advanced driver information systems; Intelligent vehicles; Autonomous vehicles; Transit buses; Freight traffic; Commercial drivers; Bus drivers; Traffic platooning; Technological innovations; Workforce; Heavy haul; Human factors; Driver training |
| General Subjects | Long haul trucking; highly automated vehicle |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1766482 |
| Availability | Volpe National Transportation Systems Center, Technical Reference Center |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/79000/79500/79508/Driving_Automation_Systems_in_Long_Haul_Trucking_and_Bus_Transit_Preliminary_Analysis_of_Potential_Workforce_Impacts.pdf |
| Format | |
| Database | NTL Digital Repository |