Navigating Safety in Tesla’s Autopilot: Analyzing Risks, Performance, and Future Directions
This research review examines the safety performance and implementation of Tesla's Autopilot technology, analyzing its technical framework, evolutionary development, and real-world effectiveness. Through comprehensive analysis of accident data, safety reports, and regulatory assessments, this study evaluates Autopilot's capabilities in collision prevention, driver error mitigation, and navigation of complex traffic scenarios. The research concludes by identifying critical areas for future development to enhance the safe integration of autonomous driving technologies, considering their implications for public confidence and regulatory compliance.
Authors
- Meng Tang (ORCID: https://orcid.org/0009-0002-6276-4738)
Institutions
- University of Arkansas at Pine Bluff (US)
Publication Details
- Journal
- Journal of industry and engineering management.
- Published
- 2024-12-01
- DOI
- https://doi.org/10.62517/jiem.202403405
- Primary Topic
- Risk and Safety Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00