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As automated vehicles and their technology become more advanced andtechnically sophisticated, evaluation procedures that can measure the safetyand reliability of these new driverless cars must develop far beyond existingsafety tests. To get an accurate assessment in field tests, such cars wouldhave to be driven millions or even billions of miles to arrive at an acceptablelevel of certainty - a time-consuming process that would cost tens of millionsof dollars.  Instead, researchers affiliated with the University of Michigan's Mcityconnected and automated vehicle center have developed an accelerated evaluationprocess that eliminates the many miles of uneventful driving activity to filterout only the potentially dangerous driving situations where an automatedvehicle needs to respond, creating a faster, less expensive testing program.This approach can reduce the amount of testing needed by a factor of 300 to100,000 so that an automated vehicle driven for 1,000 test miles can yield theequivalent of 300,000 to 100 million miles of real-world driving.  While more research and development needs to be done to perfect thistechnique, the accelerated evaluation procedure offers a ground-breakingsolution for safe and efficient testing that is crucial to deploying automatedvehicles.

From the Lab to the Street: Solving the Challenge of Accelerating Automated Vehicle Testing