A method of providing visual feedback to a driver based on data collected during vehicle operation. A processor at the vehicle analyzes vehicle data and determines when predetermined threshold values have been reached for particular parameters. Whenever such a threshold is reached, an audible indication is provided to the driver, indicating that the baseline has been exceeded. Certain parameters have at least two threshold values. When a first threshold value is reached, an alert is presented to the driver, but no data is recorded or reported. When a second threshold value is reached, another alert is presented to the driver, and data is recorded for reporting to a driver manager or supervisor. This approach provides a driver warning, that if they correct the triggering behavior, their supervisor is never notified of that behavior. However, if the behavior escalates, and the second threshold is breached, the behavior is recorded.

A method of providing visual feedback to a driver based on data collected during vehicle operation. A processor at the vehicle analyzes vehicle data and determines when predetermined threshold values have been reached for particular parameters. Whenever such a threshold is reached, an audible indication is provided to the driver, indicating that the baseline has been exceeded. Certain parameters have at least two threshold values. When a first threshold value is reached, an alert is presented to the driver, but no data is recorded or reported. When a second threshold value is reached, another alert is presented to the driver, and data is recorded for reporting to a driver manager or supervisor. This approach provides a driver warning, that if they correct the triggering behavior, their supervisor is never notified of that behavior. However, if the behavior escalates, and the second threshold is breached, the behavior is recorded.

Systems and methods for providing driver training in a virtual reality environment are disclosed. According to some aspects, an appropriate virtual reality driving simulation may be determined based on one or more input parameters provided by a user. The virtual reality driving simulation may include: (i) an instructional lesson, to be rendered in virtual reality, for teaching driving-related rules and/or skills to a user, and (ii) a driving scenario, to be rendered in virtual reality, for the user to practice the driving-related rules and/or skills taught by the instructional lesson. While the virtual reality driving simulation is rendered, user performance data may be recorded. Based on an analysis of the user performance data, a driving competency score and/or user feedback may be determined.

Systems and methods for providing driver training in a virtual reality environment are disclosed. According to some aspects, an appropriate virtual reality driving simulation may be determined based on one or more input parameters provided by a user. The virtual reality driving simulation may include: (i) an instructional lesson, to be rendered in virtual reality, for teaching driving-related rules and/or skills to a user, and (ii) a driving scenario, to be rendered in virtual reality, for the user to practice the driving-related rules and/or skills taught by the instructional lesson. While the virtual reality driving simulation is rendered, user performance data may be recorded. Based on an analysis of the user performance data, a driving competency score and/or user feedback may be determined.

Systems and methods for scenario marker infrastructure are disclosed. In one embodiment, a method comprises receiving driving scenario data, extracting simulated sensor data from the driving scenario data, extracting scenario markers from the driving scenario data, inputting the simulated sensor data into autonomous driving software, receiving driving instructions output by the driving software, updating a driving status of the autonomous vehicle based on the driving instructions output by the autonomous driving software, creating a simulation log comprising the simulated sensor data and the driving instructions, and inserting the scenario markers into the simulation log.

Systems and methods for scenario marker infrastructure are disclosed. In one embodiment, a method comprises receiving driving scenario data, extracting simulated sensor data from the driving scenario data, extracting scenario markers from the driving scenario data, inputting the simulated sensor data into autonomous driving software, receiving driving instructions output by the driving software, updating a driving status of the autonomous vehicle based on the driving instructions output by the autonomous driving software, creating a simulation log comprising the simulated sensor data and the driving instructions, and inserting the scenario markers into the simulation log.

Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.

Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.

Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.

System, methods, and other embodiments described herein relate to a training system to train a driver about occurrences of anomalous driving events of automated vehicle systems. In one embodiment, a method includes determining, upon receiving a selection of a vehicle behavior from one or more anomalous driving events and a detected state change signal, whether the vehicle behavior affects one or more entities. The method includes assessing a state of the one or more entities to simulate the vehicle behavior according to a safety standard. The method includes triggering simulation of the vehicle behavior if the state satisfies a threshold. The method includes simulating the vehicle behavior by at least controlling the vehicle to simulate the vehicle behavior during automated driving of the vehicle.