Abstract: Systems and methods for creating and using risk profiles for management of a fleet of vehicles are disclosed. The risk profiles characterize values representing likelihoods of occurrences of vehicle events, based on previously detected vehicle events. Exemplary implementations may: obtain vehicle event information for vehicle events that have been detected by the fleet of vehicles; aggregate the vehicle event information for multiple ones of the events to create one or more of a first risk profile, a second risk profile and/or a third risk profile; obtain a point of origin for and a target destination of a particular vehicle; determine a set of routes from the point of origin to the target destination; determine individual values representing likelihoods of occurrences of vehicle events along individual routes in the set of routes; select the first route from the set of routes; and provide the selected first route to the particular vehicle.

Abstract: This disclosure relates to a system and method for transitioning vehicle control between autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to the vehicle and its operation. During autonomous vehicle operation, the system gauges the level of responsiveness of a vehicle operator through challenges and corresponding responses. The system determines when to present a challenge to the vehicle operator based on internal and external factors. If necessary, the system will transition from an autonomous operation mode to a manual operation mode.

Abstract: This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. The system includes sensors configured to generate output signals conveying information related to the vehicles. The system may detect vehicle events based on the information conveyed by the output signals. The system includes a remote computing server configured to present a user interface to a user. Through the user interface, the user may query information from one or more vehicles in the fleet. The distributed query is transmitted to individual vehicles, and results are locally processed in accordance with response constraints and subsequently transmitted back to the remote computing server for presentation to the user.

Abstract: Systems and methods for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles are disclosed. Exemplary implementations may: obtain a first risk profile, a second risk profile, and vehicle event characterization information; select individual ones of the previously detected vehicle events that have one or more characteristics in common; determine circumstances for at least a predefined period prior to occurrences of the selected vehicle events; create a new vehicle event definition based on the determined set of circumstances; distribute the new vehicle event definition to individual vehicles in the fleet of vehicles; and receive additional vehicle event information from the individual vehicles in the fleet of vehicles.

Abstract: This disclosure relates to a system and method for determining responsiveness of a driver of a vehicle to feedback regarding driving behaviors. The system may include a sensor configured to generate output signals conveying first driving behavior information, which may characterize operation of the vehicle by the driver. The system may include one or more processors configured to obtain the first driving behavior information. The one or more processors may effectuate provision of feedback defined by feedback information based on the first driving behavior. The sensor may be configured to output signals conveying second driving behavior information, which may characterize operation of the vehicle by the driver during and/or subsequent to the provision of the feedback. The one or more processors may be configured to obtain the second driving behavior information and assess responsiveness of the driver to the feedback based on the second driving behavior information.

Abstract: Systems and methods for creating and using risk profiles for management of a fleet of vehicles are disclosed. The risk profiles characterize values representing likelihoods of occurrences of vehicle events, based on previously detected vehicle events. Exemplary implementations may: obtain vehicle event information for vehicle events that have been detected by the fleet of vehicles; aggregate the vehicle event information for multiple ones of the events to create one or more of a first risk profile, a second risk profile and/or a third risk profile; obtain a point of origin for and a target destination of a particular vehicle; determine a set of routes from the point of origin to the target destination; determine individual values representing likelihoods of occurrences of vehicle events along individual routes in the set of routes; select the first route from the set of routes; and provide the selected first route to the particular vehicle.

Abstract: Systems and methods for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles are disclosed. Exemplary implementations may: obtain a first risk profile, a second risk profile, and vehicle event characterization information; select individual ones of the previously detected vehicle events that have one or more characteristics in common; determine circumstances for at least a predefined period prior to occurrences of the selected vehicle events; create a new vehicle event definition based on the determined set of circumstances; distribute the new vehicle event definition to individual vehicles in the fleet of vehicles; and receive additional vehicle event information from the individual vehicles in the fleet of vehicles.

Abstract: This disclosure relates to a system and method for determining responsiveness of a driver of a vehicle to feedback regarding driving behaviors. The system may include a sensor configured to generate output signals conveying first driving behavior information, which may characterize operation of the vehicle by the driver. The system may include one or more processors configured to obtain the first driving behavior information. The one or more processors may effectuate provision of feedback defined by feedback information based on the first driving behavior. The sensor may be configured to output signals conveying second driving behavior information, which may characterize operation of the vehicle by the driver during and/or subsequent to the provision of the feedback. The one or more processors may be configured to obtain the second driving behavior information and assess responsiveness of the driver to the feedback based on the second driving behavior information.

Abstract: This disclosure relates to a system and method for determining vehicle operator preparedness for vehicles that support both autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to vehicles and their operation. During autonomous vehicle operation, the system gauges the level of responsiveness of an individual vehicle operator through challenges and corresponding responses. Based on the level of responsiveness, a preparedness metric is determined for each vehicle operator individually.

Abstract: This disclosure relates to a system and method for determining vehicle operator preparedness for vehicles that support both autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to vehicles and their operation. During autonomous vehicle operation, the system gauges the level of responsiveness of an individual vehicle operator through challenges and corresponding responses. Based on the level of responsiveness, a preparedness metric is determined for each vehicle operator individually.

Abstract: This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. The system includes sensors configured to generate output signals conveying information related to the vehicles. The system may detect vehicle events based on the information conveyed by the output signals. The system includes a remote computing server configured to present a user interface to a user. Through the user interface, the user may query information from one or more vehicles in the fleet. The distributed query is transmitted to individual vehicles, and results are locally processed in accordance with response constraints and subsequently transmitted back to the remote computing server for presentation to the user.

Abstract: This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. Individual vehicles carry sensors configured to generate output signals conveying information related to the vehicles and/or the surroundings of the vehicles. The system includes a remote computing server configured to obtain executable code from a user, and subsequently transmit the executable code to individual vehicles in the fleet. Individual vehicles locally execute the executable code to produce local results, and subsequently transfer the results to the remote computing server for presentation to the user.

Abstract: Systems and methods for verifying whether vehicle operators are paying attention are disclosed. Exemplary implementations may: generate output signals conveying information related to a first vehicle operator; make a first type of determination of at least one of an object on which attention of the first vehicle operator is focused and/or a direction in which attention of the first vehicle operator is focused; make a second type of determination regarding fatigue of the first vehicle operator; make a third type of determination of at least one of a distraction level of the first vehicle operator and/or a fatigue level of the first vehicle operator; and effectuate a notification regarding the third type of determination to at least one of the first vehicle operator and/or a remote computing server.

Abstract: This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. The system includes sensors configured to generate output signals conveying information related to the vehicles and/or the surroundings of vehicles. The system includes a remote computing server configured to maintain map data and distribute it to the fleet, including local map data to individual vehicles pertaining to their surroundings. Individual vehicles may compare the local map data with the information related to their individual surroundings. Based on such comparisons, individual vehicles may detect discrepancies between the local map data and the information related to their individual surroundings. The remote computing server may modify and/or update the map data based on the detected discrepancies.

Abstract: This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. The system includes sensors configured to generate output signals conveying information related to the vehicles. The system may detect vehicle events based on the information conveyed by the output signals. The system includes a remote computing server configured to present a user interface to a user. Through the user interface, the user may query information from one or more vehicles in the fleet. The distributed query is transmitted to individual vehicles, and results are locally processed in accordance with response constraints and subsequently transmitted back to the remote computing server for presentation to the user.

Abstract: This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. Individual vehicles carry sensors configured to generate output signals conveying information related to the vehicles and/or the surroundings of the vehicles. The system includes a remote computing server configured to obtain executable code from a user, and subsequently transmit the executable code to individual vehicles in the fleet. Individual vehicles locally execute the executable code to produce local results, and subsequently transfer the results to the remote computing server for presentation to the user.

Abstract: This disclosure relates to a system and method for detecting vehicle events. The system includes sensors configured to generate output signals conveying information related to the vehicle. The system detects a vehicle event based on the information conveyed by the output signals. The system selects a subset of sensors based on the detected vehicle event. The system captures and records information from the selected subset of sensors. The system transfers the recorded information to a remote server or provider.

Abstract: This disclosure relates to a system and method for determining responsiveness of a driver of a vehicle to feedback regarding driving behaviors. The system may include a sensor configured to generate output signals conveying first driving behavior information, which may characterize operation of the vehicle by the driver. The system may include one or more processors configured to obtain the first driving behavior information. The one or more processors may effectuate provision of feedback defined by feedback information based on the first driving behavior. The sensor may be configured to output signals conveying second driving behavior information, which may characterize operation of the vehicle by the driver during and/or subsequent to the provision of the feedback. The one or more processors may be configured to obtain the second driving behavior information and assess responsiveness of the driver to the feedback based on the second driving behavior information.

Abstract: Systems and methods for using risk profiles for fleet management of a fleet of vehicles are disclosed. Fleet management may include determining the performance levels of particular vehicle operators. The risk profiles characterize values representing likelihoods of occurrences of vehicle events. The values are based on vehicle event information for previously detected vehicle events. Exemplary implementations may: receive, from a particular vehicle, particular vehicle event information for particular vehicle events that have been detected by the particular vehicle; determine one or more metrics that quantify a performance level of the particular vehicle operator, based on the risk profiles; compare the one or more metrics for the particular vehicle operator with aggregated metrics that quantify performance levels of a set of vehicle operators; and store, transfer, and/or present results of the comparison.

Abstract: Systems and methods for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles are disclosed. Exemplary implementations may: obtain a first risk profile, a second risk profile, and vehicle event characterization information; select individual ones of the previously detected vehicle events that have one or more characteristics in common; determine circumstances for at least a predefined period prior to occurrences of the selected vehicle events; create a new vehicle event definition based on the determined set of circumstances; distribute the new vehicle event definition to individual vehicles in the fleet of vehicles; and receive additional vehicle event information from the individual vehicles in the fleet of vehicles.