What is crucial is data. I am not talking about training road condition, Google has been doing this for years. What is missing is traffic data. I have given thi

What is crucial is data. I am not talking about training road condition, Google has been doing this for years. What is missing is traffic data. I have given this argument before on self-driving. One night a maintenance took place on a busy intersection in Flushing, NY. Police officers were asked to guide traffic. This is a planned event, but driveless car does not know; it doesn't have this data until the car shows up at the scene. Yes, map services like Google have been receiving some data from government in addition to collecting user's current location and user's generous feedback (e.g. Waze user) to determine best route. But we are no where near the condition we can know what's happening ahead of us. What about weather condition? On intersection who goes first? A safe driverless vehicles should be able to communicate (check, for as long as the communication is stable), and government and cars will share feedback to other cars. This is a crowd-sourcing effort to make fully autonomous car possible on road. If we just learn as we go on the road, these driverless cars will not work well in very complex road condition.