Automated Vehicles and Adverse Weather: Final Report
-
2019-06-01
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Task Report, December 2017 – June 2019
-
Corporate Publisher:
-
Abstract:Automated vehicles are being developed and promoted by manufacturers. Like other vehicles, they will have to perform in a variety of adverse weather conditions. With recent advancements in automated vehicle (AV) technology, the Federal Highway Administration is exploring AV needs, opportunities, and potential shortcomings during adverse weather conditions. This project explored how adverse weather and road weather conditions affects automated vehicles through three primary tasks: 1) a literature review, 2) two experiments to observe the performance of AVs and their sensor systems under controlled conditions, and 3) three listening sessions with stakeholders. Following background information presented in Chapter 1, a summary of the research and findings of each primary task is presented in Chapter 2, Chapter 3, and Chapter 4, respectively. The document finishes with conclusions in Chapter 5 and identifies outstanding research needs in Chapter 6. Limitations of AVs are not fully understood. Level 2 vehicles exposed to adverse weather in this project were challenged and a significant amount of performance inconsistency was observed from vehicle to vehicle. Tested vehicles used different approaches to automation and driver assistance. To improve safety, and achieve higher levels of automation, advancements in data connectivity, infrastructure support, and rulemaking are needed. Better decision support for beginning or continuing trips is also needed. This includes identifying responsibilities and roles for determining that current and forecast conditions are within a vehicle’s ODD. State and local agencies must be better equipped to provide advice on AV use in adverse conditions. In the meantime, level 2 AV drivers must avoid over-trusting automation, avoid complacency, and be prepared to engage.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: