Greetings. I'd like to thank everyone for their support and interest in this experiment. Due to unplanned secondary effects of the pandemic, it would appear that drive #62 from mid-March will be the last official drive for this data set.
This experiment centered around my "unique commute" between my office in Savannah Georgia and my family in Greenboro North Carolina (330 miles each way). I had planned to continue that inconvenient lifestyle for a total of about 2.5 years, until my son graduated from high school with his peers in June of this year. However, as you probably know, the formal educational structure in the USA kind of dissolved in March when the widespread precautionary closures hit. My family took that opportunity to wrap things up in North Carolina, and accelerate the move to Georgia. Now, with in-person graduation effectively cancelled, the house sold, and all of our family members and worldly possessions in Georgia, my long distance commute is a thing of the past.
Like many of you, my driving is very limited nowadays. I've had precious little experience with the new FSD stop lights and stop signs features. The future of FSD will be very interesting to say the least. I've been thinking about how to continue quantifying the successes, shortcomings, and failures as the feature set becomes more comprehensive. However, if/when my commute resumes, it is (thankfully) only 4 miles each way, Monday through Friday, so it would be a very tiny (but repeatable) data set. If I decide to do any formal tracking at all, I would lean towards a very simple system with 3 basic categories for each event/maneuver. I'd appreciate any feedback you have on this.
Drive safe y'all, and be well.
This experiment centered around my "unique commute" between my office in Savannah Georgia and my family in Greenboro North Carolina (330 miles each way). I had planned to continue that inconvenient lifestyle for a total of about 2.5 years, until my son graduated from high school with his peers in June of this year. However, as you probably know, the formal educational structure in the USA kind of dissolved in March when the widespread precautionary closures hit. My family took that opportunity to wrap things up in North Carolina, and accelerate the move to Georgia. Now, with in-person graduation effectively cancelled, the house sold, and all of our family members and worldly possessions in Georgia, my long distance commute is a thing of the past.
Like many of you, my driving is very limited nowadays. I've had precious little experience with the new FSD stop lights and stop signs features. The future of FSD will be very interesting to say the least. I've been thinking about how to continue quantifying the successes, shortcomings, and failures as the feature set becomes more comprehensive. However, if/when my commute resumes, it is (thankfully) only 4 miles each way, Monday through Friday, so it would be a very tiny (but repeatable) data set. If I decide to do any formal tracking at all, I would lean towards a very simple system with 3 basic categories for each event/maneuver. I'd appreciate any feedback you have on this.
- successful (green)
- marginal/stressful (yellow)
- driver intervention required for safety (red)
- quantify the success and reliability of NOA features, and
- observe a small amount of general improvement over time
- the rate of improvement was *really* slow
- my experiment was not fully representative of the varied conditions that exist in other more urban areas
- I couldn't see the experiment through until NOA reached the magic 100% success rate
Drive safe y'all, and be well.