MIT Supply Chain Frontiers The Road to Vehicle Automation: How Far Are We?
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Jul 15, 2025 
Join Bryan Reimer, a leading expert in vehicle behavior and policy, Bruce Mehler, a research scientist with a background in psychology and physiology, and Pnina Gershon, who specializes in human-technology interaction. They dive into the hurdles of vehicle automation, emphasizing public trust and the need for active driver engagement despite advanced tech. Insights on industry collaboration, misconceptions about automation, and the rising costs of vehicle ownership reveal the intricate dance of innovation and consumer acceptance in shaping the future of transportation.
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Naturalistic Driving Reveals Behavior
- Naturalistic driving studies provide real, long-term insight into driver behavior with automated systems.
- Studying how users adapt over time reveals trust and interaction patterns with vehicle technology.
Data Scale Challenges in AVT
- Handling vast amounts of naturalistic driving data challenges storage and processing capabilities.
- MIT's investment in high-performance computing enables managing hundreds of terabytes of detailed vehicle data.
China Surges Ahead in AVT
- China leads in deploying advanced vehicle technologies and setting regulatory standards.
- The US and Western nations need accelerated collaboration to regain leadership in automotive innovation.