Abstract: Activation of an automatic driving feature in a vehicle is detected by evaluating sequential vehicle operation data against subtractive and additive heuristic rules that define a likelihood of an automatic driving feature having been engaged as a function of vehicle performance. The sequential vehicle operation data, which does not include an explicit indication of whether the automatic driving feature was engaged, is provided for time intervals of a trip made by the vehicle. Automatic driving information is generated, which provides an indication of whether the automatic driving feature was engaged during a subset of the time intervals.

Abstract: Activation of an automatic driving feature in a vehicle is detected by evaluating sequential vehicle operation data against subtractive and additive heuristic rules that define a likelihood of an automatic driving feature having been engaged as a function of vehicle performance. The sequential vehicle operation data, which does not include an explicit indication of whether the automatic driving feature was engaged, is provided for time intervals of a trip made by the vehicle. Automatic driving information is generated, which provides an indication of whether the automatic driving feature was engaged during a subset of the time intervals.

Abstract: Activation of an automatic driving feature in a vehicle is detected by evaluating sequential vehicle operation data against subtractive and additive heuristic rules that define a likelihood of an automatic driving feature having been engaged as a function of vehicle performance. The sequential vehicle operation data, which does not include an explicit indication of whether the automatic driving feature was engaged, is provided for time intervals of a trip made by the vehicle. Automatic driving information is generated, which provides an indication of whether the automatic driving feature was engaged during a subset of the time intervals.

Abstract: Activation of an automatic driving feature in a vehicle is detected by evaluating sequential vehicle operation data against subtractive and additive heuristic rules that define a likelihood of an automatic driving feature having been engaged as a function of vehicle performance. The sequential vehicle operation data, which does not include an explicit indication of whether the automatic driving feature was engaged, is provided for time intervals of a trip made by the vehicle. Automatic driving information is generated, which provides an indication of whether the automatic driving feature was engaged during a subset of the time intervals.

Abstract: Activation of an automatic driving feature in a vehicle is detected by evaluating sequential vehicle operation data against subtractive and additive heuristic rules that define a likelihood of an automatic driving feature having been engaged as a function of vehicle performance. The sequential vehicle operation data, which does not include an explicit indication of whether the automatic driving feature was engaged, is provided for time intervals of a trip made by the vehicle. Automatic driving information is generated, which provides an indication of whether the automatic driving feature was engaged during a subset of the time intervals.

Abstract: Activation of an automatic driving feature in a vehicle is detected by evaluating sequential vehicle operation data against subtractive and additive heuristic rules that define a likelihood of an automatic driving feature having been engaged as a function of vehicle performance. The sequential vehicle operation data, which does not include an explicit indication of whether the automatic driving feature was engaged, is provided for time intervals of a trip made by the vehicle. Automatic driving information is generated, which provides an indication of whether the automatic driving feature was engaged during a subset of the time intervals.