Abstract: Methods and systems are provided for fleet management of driver analytics for vehicles. In one embodiment, the disclosed systems include one or more vehicle sensors, one or more transceivers, and one or more processors. The one or more vehicle sensors are configured to collect sensor data pertaining to a cognitive load of a driver of a vehicle. The one or more transceivers are configured to transmit the sensor data to a remote server that is physically remote from the plurality of vehicles, via a wireless communications network. The one or more processors are configured to at least facilitate aggregating the internal data and the external data for all of the plurality of vehicles in the fleet, generating aggregated fleet data; and providing one or more control actions for the plurality of vehicles of the fleet, based on the aggregated fleet data.

Abstract: A system for automated vehicle readiness and upfitting monitoring for efficient fleet management includes sensors equipped to vehicles. Each sensor has a distinct field of view of a vehicle or of surroundings of the vehicles. A human machine interface (HMI) accessible by a vehicle fleet manager, a cloud computing server, and a controller are in communication with each other and with the vehicles. The controller executes a fleet management application (FMA) with a first control logic for authorized person detection (APD); a second control logic for cargo and upfitting (CU) management; and a third control logic for vehicle daily readiness (VDR) management. Outputs from the first, second and third control logics are transmitted to the HMI and the cloud computing server, and the FMA suggests a vehicle downtime mitigation strategy to the fleet manager based on the outputs from the first, second, and third control logics.

Abstract: A system for automated vehicle readiness and upfitting monitoring for efficient fleet management includes sensors equipped to vehicles. Each sensor has a distinct field of view of a vehicle or of surroundings of the vehicles. A human machine interface (HMI) accessible by a vehicle fleet manager, a cloud computing server, and a controller are in communication with each other and with the vehicles. The controller executes a fleet management application (FMA) with a first control logic for authorized person detection (APD); a second control logic for cargo and upfitting (CU) management; and a third control logic for vehicle daily readiness (VDR) management. Outputs from the first, second and third control logics are transmitted to the HMI and the cloud computing server, and the FMA suggests a vehicle downtime mitigation strategy to the fleet manager based on the outputs from the first, second, and third control logics.

Abstract: Methods and systems are provided for fleet management of driver analytics for vehicles. In one embodiment, the disclosed systems include one or more vehicle sensors, one or more transceivers, and one or more processors. The one or more vehicle sensors are configured to collect sensor data pertaining to a cognitive load of a driver of a vehicle. The one or more transceivers are configured to transmit the sensor data to a remote server that is physically remote from the plurality of vehicles, via a wireless communications network. The one or more processors are configured to at least facilitate aggregating the internal data and the external data for all of the plurality of vehicles in the fleet, generating aggregated fleet data; and providing one or more control actions for the plurality of vehicles of the fleet, based on the aggregated fleet data.