Abstract: Systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and governing entities that define rules associated with vehicle behavior occurring in a geographic region. The system receives from a mobility operator historical vehicle data including GPS locations for fleet vehicles within the geographic region. The system determines aggregate behavior metrics for the vehicles using the behavior data. If the aggregate behavior metrics exceed one or more behavior thresholds for a specified time period, the system generates one or more suggested behavior modifications for the vehicles or mobility operators. Moreover, the historical vehicle data may be used to train a machine-learned model to predict a number and behavior of vehicles within the geographic region at a specific time, and if the current number or behavior of vehicles satisfies pre-determined governing criteria, the system modifies one or more vehicle rules.

Abstract: Systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and governing entities that define rules associated with vehicle behavior occurring in a geographic region. The system receives from a mobility operator historical vehicle data including GPS locations for fleet vehicles within the geographic region. The system determines aggregate behavior metrics for the vehicles using the behavior data. If the aggregate behavior metrics exceed one or more behavior thresholds for a specified time period, the system generates one or more suggested behavior modifications for the vehicles or mobility operators. Moreover, the historical vehicle data may be used to train a machine-learned model to predict a number and behavior of vehicles within the geographic region at a specific time, and if the current number or behavior of vehicles satisfies pre-determined governing criteria, the system modifies one or more vehicle rules.

Abstract: Systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and governing entities that define rules associated with vehicle behavior occurring in a geographic region. The system receives from a mobility operator historical vehicle data including GPS locations for fleet vehicles within the geographic region. The system determines aggregate behavior metrics for the vehicles using the behavior data. If the aggregate behavior metrics exceed one or more behavior thresholds for a specified time period, the system generates one or more suggested behavior modifications for the vehicles or mobility operators. Moreover, the historical vehicle data may be used to train a machine-learned model to predict a number and behavior of vehicles within the geographic region at a specific time, and if the current number or behavior of vehicles satisfies pre-determined governing criteria, the system modifies one or more vehicle rules.

Abstract: Systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and governing entities that define rules associated with vehicle behavior occurring in a geographic region. The system receives from a mobility operator historical vehicle data including GPS locations for fleet vehicles within the geographic region. The system determines aggregate behavior metrics for the vehicles using the behavior data. If the aggregate behavior metrics exceed one or more behavior thresholds for a specified time period, the system generates one or more suggested behavior modifications for the vehicles or mobility operators. Moreover, the historical vehicle data may be used to train a machine-learned model to predict a number and behavior of vehicles within the geographic region at a specific time, and if the current number or behavior of vehicles satisfies pre-determined governing criteria, the system modifies one or more vehicle rules.

Abstract: Systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and governing entities that define rules associated with vehicle behavior occurring in a geographic region. The system receives from a mobility operator historical vehicle data including GPS locations for fleet vehicles within the geographic region. The system determines aggregate behavior metrics for the vehicles using the behavior data. If the aggregate behavior metrics exceed one or more behavior thresholds for a specified time period, the system generates one or more suggested behavior modifications for the vehicles or mobility operators. Moreover, the historical vehicle data may be used to train a machine-learned model to predict a number and behavior of vehicles within the geographic region at a specific time, and if the current number or behavior of vehicles satisfies pre-determined governing criteria, the system modifies one or more vehicle rules.

Abstract: Systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and a governing entity that defines rules for vehicle parking events occurring in a geographic region. The system receives from mobility operators vehicle behavior data indicating GPS locations and associated durations for vehicles in a fleet. For each vehicle behavior event, the system maps the GPS data to governing data to identify a geographic area of interest, such as delivery zones and on-street parking zones, associated with the GPS location and determines the applicability of one or more vehicle rules to the vehicle behavior events. Event durations and associated rule data for fleet vehicles are aggregated and periodically transmitted to the mobility operator.

Abstract: Systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and governing entities that define rules associated with vehicle behavior occurring in a geographic region. The system receives from a mobility operator historical vehicle data including GPS locations for fleet vehicles within the geographic region. The system determines aggregate behavior metrics for the vehicles using the behavior data. If the aggregate behavior metrics exceed one or more behavior thresholds for a specified time period, the system generates one or more suggested behavior modifications for the vehicles or mobility operators. Moreover, the historical vehicle data may be used to train a machine-learned model to predict a number and behavior of vehicles within the geographic region at a specific time, and if the current number or behavior of vehicles satisfies pre-determined governing criteria, the system modifies one or more vehicle rules.