Systems and methods for multi-stage risky driving mitigation

A method for predicting risky driving behavior, comprising:

• receiving, by a monitoring system, a first vehicle data of a vehicle;
• receiving, by the monitoring system, a survey data of a driver of the vehicle;
• analyzing, by the monitoring system, the first vehicle data and the survey data using a first machine learning predictive model to predict a general risky driving behavior;
• predicting, by the monitoring system, whether the general risky driving behavior will occur within a first predetermined duration;
• in response to predicting the general risky driving behavior will occur within the first predetermined duration, initiating, by the monitoring system, a first countermeasure to encourage a first response from the driver of the vehicle;
• and
• in response to determining the general risky driving behavior, using, by the monitoring system, a second machine learning predictive model to predict a specific risky driving behavior.

A non-transitory computer-readable medium having stored contents that cause one or more computing systems to perform automated operations, the automated operations including at least:

• receiving, by the one or more computing systems, a vehicle data measured by one or more vehicle sensors located onboard a vehicle;
• receiving, by the one or more computing systems, a survey data including data indicative of a personality and/or an attitude of a driver of the vehicle;
• analyzing, by the one or more computing systems, the vehicle data and the survey data using a first machine learning predictive model to predict a general risky driving behavior;
• and
• in response to determining the general risky driving behavior, use a second machine learning predictive model to predict a specific risky driving behavior.