Driver Efficiency Scores

You can monitor the overall driver efficiency of your fleet or individual vehicles when you configure your Fuel & Energy settings (Settings > Fleet > Fuel & Energy). Use the default settings or assign weights to driver behavior to influence the Driver Efficiency score. After you configure your settings, monitor driver efficiency using the Driver Efficiency Report.

The Driver Efficiency Report primarily supports fleets with heavy duty vehicles and larger commercial vans. For light duty and passenger vehicles, Samsara supports only Over Speed and Idling metrics.

When you configure driver efficiency score weights, you select an integer between 1 and 10 for the relative parameter contribution to reflect in the total efficiency score. For example, if you select a weight of 1 for Green Band and 10 for Coasting, the Coasting parameter contribution to the overall score will be 10 times higher than that of the Green Band parameter.

Weights are automatically converted to percentages totalling 100%. For example, if you assign the Coasting parameter a weight of 10 and the Green Band parameter a weight of 1, the parameter percentage calculates to 91% and 9%, respectively.

To set score weights, click Configure and adjust the slide to the desired scoring weight for each metric. You can also set a metric weight to OFF to remove it from calculation in the overall score.

You can set score weights (1: least important; 10: most important; or OFF) for the following metrics:

Default parameters vary according to region:

Samsara recommends that you adjust the metric scores using Score Mapping to better reflect the driving style of your fleet. The default values are calculated for 0 to reflect the bottom 10% of drivers and 100 to reflect the top 10% drivers, with the exception of Idling. The following table provides the default values for each efficiency metric:

Driver Efficiency 0-100 Score Mapping

To accurately reflect driver efficiency, the driver efficiency score uses a proportional metric to determine the degree of efficiency. A score of 0 corresponds to really bad performance and a score of 100 indicates really good performance. With score mapping, you can fine tune the driver efficiency score settings to align with a specific percentage of time in an event metric.

For example, the Cruise Control efficiency score, by default, reflects a desired driver use between 1% - 61% of drive time. This usage proportion of drive time directly correlates to the efficiency score with 1% reflecting a score of 0 and 61% relflecting a score of 100. You can configure the percentage of time in each metric to best reflect the efficiency goals of your fleet. To see additional use case examples, see Example: Cruise Control Scoring and Example: Anticipation Scoring.

Score Correlation to the Efficiency Metrics

For each score above or below a threshold, the nearest threshold is used for the driver efficiency score. For example, if the high score (100) threshold is 7% and the actual metric achieved is 10%, the driver receives a score of 100.

Each efficiency metric is proportional to the efficiency score using the following correlations:

• Directly proportional metrics (Cruise Control, Coasting (any gear) and Green Band) indicate that the more time spent in this metric as a proportion of drive time, the better the behavior and the larger the score.

• Inversely proportional metrics (High Torque, Anticipation, Idling, Over Speed) indicate that the more time spent in them, the worse the behavior and the smaller the score. Because the parameter is an inverse of the

Example: Cruise Control Scoring

For this example, use the following information along with the table below to visualize how the score setting influences the actual score for the behavior.

Using the default Cruise Control setting of 0 corresponding to 1% and 100 corresponding to 61%:

• (Example A) 55% (close to the threshold of 61%) of time in cruise control would map to a score of 90 (close to 100).

• (Example B) 5% of the time in Cruise Control (close to the threshold of 1%) will map to a score of 7 (close to 0).

	Low Score Setting	High Score Setting	Example A	Example B
% of time in metric	1%	61%	55%	5%
Score	0	100	90	7

Example: Anticipation Scoring

For this example, use the following information along with the table below to visualize how the score setting influences the actual score for the behavior.

Using the default Anticipation setting of 0 corresponding to 26% and 100 corresponding to 7%:

• (Example A) 24% (close to the threshold of 26%) of Anticipation would map to a score of 11 (close to 0).

• (Example B) 10% of the time in Anticipation (close to the threshold of 7%) will map to a score of 84 (close to 100).

	Low Score Setting	High Score Setting	Example A	Example B
% of time in metric	26%	7%	24%	10%
Score	0	100	11	84