Abstract: A method for predicting fleet utilization or capacity for fulfilling a delivery demand is provided. The method includes receiving vehicle data from vehicles in a fleet of vehicles associated with a location. The vehicle data is related to delivery information associated with the vehicles. The method includes determining, based on the vehicle data, a health status of the vehicles. The health status includes an indication of a health status of one or more components of the vehicles. The method includes generating a prediction of a fleet utilization or capacity for fulfilling a delivery demand based on the health status of the vehicles. The method includes transmitting, based on the prediction of the fleet utilization or capacity, information to transfer a delivery load from the vehicles to other vehicles in the fleet to fulfill the delivery demand.

Abstract: A method for predicting and managing a maintenance schedule for a fleet of vehicles is provided. The method includes receiving vehicle data from a vehicle in a fleet of vehicles, and determining, based on the vehicle data, a health status of the vehicle. The health status includes an indication of a health status of components of the vehicle. The method further includes generating a prediction of a maintenance servicing for the vehicle based on the health status of the vehicle, in which the prediction of the maintenance servicing for the vehicle corresponds to a predicted maintenance servicing for at least one of the components of the vehicle. The method further includes transmitting information to schedule an action addressing the maintenance servicing for the vehicle. The schedule is determined based on the predicted maintenance servicing for the at least one of the components of the vehicle.

Abstract: The present disclosure describes a system for detecting, identifying and addressing a maintenance event for light electric vehicles. The maintenance event may be detected based on rider profile information, riding parameter information and light electric vehicle information. If a maintenance event is detected, a light electric vehicle management system may determine an action that addresses the maintenance event and provide instructions regarding the action to the light electric vehicle and/or one or more individuals that are trained or otherwise certified to address the maintenance event.

Abstract: The present disclosure describes a system for detecting, identifying and addressing a maintenance event for light electric vehicles. The maintenance event may be detected based on rider profile information, riding parameter information and light electric vehicle information. If a maintenance event is detected, a light electric vehicle management system may determine an action that addresses the maintenance event and provide instructions regarding the action to the light electric vehicle and/or one or more individuals that are trained or otherwise certified to address the maintenance event.

Abstract: The present disclosure describes a system for determining an optimal gear ratio for a light electric vehicle. The optimal gear ratio may be based on an anticipated or current route of an individual riding the light electric vehicle, riding habits of the individual and/or on maintenance status information associated with the light electric vehicle. When the optimal gear ratio is determined, the system provides an indication of the optimal gear ratio to the light electric vehicle.

Abstract: The present disclosure describes a system for detecting, identifying and addressing a maintenance event for light electric vehicles. The maintenance event may be detected based on rider profile information, riding parameter information and light electric vehicle information. If a maintenance event is detected, a light electric vehicle management system may determine an action that addresses the maintenance event and provide instructions regarding the action to the light electric vehicle and/or one or more individuals that are trained or otherwise certified to address the maintenance event.

Abstract: The present disclosure describes a system for detecting, identifying and addressing a maintenance event for light electric vehicles. The maintenance event may be detected based on rider profile information, riding parameter information and light electric vehicle information. If a maintenance event is detected, a light electric vehicle management system may determine an action that addresses the maintenance event and provide instructions regarding the action to the light electric vehicle and/or one or more individuals that are trained or otherwise certified to address the maintenance event.

Abstract: The present disclosure describes a system for determining an optimal gear ratio for a light electric vehicle. The optimal gear ratio may be based on an anticipated or current route of an individual riding the light electric vehicle, riding habits of the individual and/or on maintenance status information associated with the light electric vehicle. When the optimal gear ratio is determined, the system provides an indication of the optimal gear ratio to the light electric vehicle.