Abstract: A device receives vehicle data from a vehicle telematics device or a client device. The vehicle data includes information relating to a vehicle, a vehicle component, and a sensor associated with the vehicle. The device determines a vehicle profile, and one or more of a driving behavior and a driving location based on the vehicle data. The vehicle profile includes information relating to a condition of the vehicle component. The device determines a wear rate for the vehicle component based on the vehicle profile, and one or more of the driving behavior or the driving location. The device determines a service timeframe for the vehicle component based on the wear rate, the condition of the vehicle component, and a wear threshold. The device generates a recommendation based on the service timeframe, and transmit the recommendation to the client device.

Abstract: An edge device may receive first vehicle information and first sensor information associated with a first vehicle. The edge device may receive second vehicle information or second sensor information associated with a second vehicle. The edge device may compare the first vehicle information and the first sensor information to determine a first accuracy score. The edge device may determine, based on the first vehicle information, the first sensor information, the first accuracy score, and the second vehicle information or the second sensor information, whether the first vehicle and the second vehicle are predicted to collide. The edge device may provide to one or more traffic control devices, and based on determining whether the first vehicle and the second vehicle are predicted to collide, one or more instructions to provide signals to at least one of the first vehicle or the second vehicle.

Abstract: An edge device may receive, from a first device in a first vehicle moving towards an intersection, first-vehicle-provided-tracking information and, from a first sensor device at the intersection, sensor-provided-first-vehicle-tracking information. The edge device may receive, from a second device in a second vehicle moving towards the intersection, second-vehicle-provided-tracking information and, from a second sensor device at the intersection, sensor-provided-second-vehicle-tracking information. The edge device may determine whether vehicle-provided-tracking information matches the sensor-provided-tracking information for the first vehicle and/or the second vehicle. The edge device may determine whether the first vehicle and the second vehicle are predicted to collide and may provide, to one or more traffic control devices, one or more instructions to provide signals to the first vehicle and/or the second vehicle.

Abstract: A device may receive vehicle data from a vehicle telematics device or a client device. The vehicle data may include information relating to a vehicle, a vehicle component, and a sensor associated with the vehicle. The device may determine a vehicle profile, and one or more of a driving behavior and a driving location based on the vehicle data. The vehicle profile may include information relating to a condition of the vehicle component. The device may determine a wear rate for the vehicle component based on the vehicle profile, and one or more of the driving behavior or the driving location. The device may determine a service timeframe for the vehicle component based on the wear rate, the condition of the vehicle component, and a wear threshold. The device may generate a recommendation based on the service timeframe, and transmit the recommendation to the client device.

Abstract: A device may receive historical usage data associated with a portion of a wireless network, and may train a model with the historical usage data to generate a trained model. The device may process data identifying a future time period, with the trained model, to forecast a traffic demand during the future time period, and may compare the traffic demand and a traffic capacity of the portion of the wireless network to determine whether the traffic demand is within a threshold of or exceeds the traffic capacity. The device may identify an autonomous vehicle to deploy for the portion of the wireless network when the traffic demand is within the threshold of or exceeds the traffic capacity, and may cause the autonomous vehicle to be deployed for the portion of the wireless network, wherein the autonomous vehicle is to provide a temporary wireless network.

Abstract: A device receives vehicle data from a vehicle telematics device or a client device. The vehicle data includes information relating to a vehicle, a vehicle component, and a sensor associated with the vehicle. The device determines a vehicle profile, and one or more of a driving behavior and a driving location based on the vehicle data. The vehicle profile includes information relating to a condition of the vehicle component. The device determines a wear rate for the vehicle component based on the vehicle profile, and one or more of the driving behavior or the driving location. The device determines a service timeframe for the vehicle component based on the wear rate, the condition of the vehicle component, and a wear threshold. The device generates a recommendation based on the service timeframe, and transmits the recommendation to the client device.

Abstract: A device may receive historical usage data associated with a portion of a wireless network, and may train a model with the historical usage data to generate a trained model. The device may process data identifying a future time period, with the trained model, to forecast a traffic demand during the future time period, and may compare the traffic demand and a traffic capacity of the portion of the wireless network to determine whether the traffic demand is within a threshold of or exceeds the traffic capacity. The device may identify an autonomous vehicle to deploy for the portion of the wireless network when the traffic demand is within the threshold of or exceeds the traffic capacity, and may cause the autonomous vehicle to be deployed for the portion of the wireless network, wherein the autonomous vehicle is to provide a temporary wireless network.

Abstract: An edge device may receive, from a first device in a first vehicle moving towards an intersection, first-vehicle-provided-tracking information and, from a first sensor device at the intersection, sensor-provided-first-vehicle-tracking information. The edge device may receive, from a second device in a second vehicle moving towards the intersection, second-vehicle-provided-tracking information and, from a second sensor device at the intersection, sensor-provided-second-vehicle-tracking information. The edge device may determine whether vehicle-provided-tracking information matches the sensor-provided-tracking information for the first vehicle and/or the second vehicle. The edge device may determine whether the first vehicle and the second vehicle are predicted to collide and may provide, to one or more traffic control devices, one or more instructions to provide signals to the first vehicle and/or the second vehicle.

Abstract: A device may receive vehicle data from a vehicle telematics device or a client device. The vehicle data may include information relating to a vehicle, a vehicle component, and a sensor associated with the vehicle. The device may determine a vehicle profile, and one or more of a driving behavior and a driving location based on the vehicle data. The vehicle profile may include information relating to a condition of the vehicle component. The device may determine a wear rate for the vehicle component based on the vehicle profile, and one or more of the driving behavior or the driving location. The device may determine a service timeframe for the vehicle component based on the wear rate, the condition of the vehicle component, and a wear threshold. The device may generate a recommendation based on the service timeframe, and transmit the recommendation to the client device.