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: A device can receive fuel information associated with a vehicle and location information associated with the vehicle. The device can determine a home location associated with a user of a client device and a destination location associated with the user. The device can determine an estimated fuel usage, of the vehicle, associated with a route between the home location and the destination location. The device can determine an estimated quantity of trips between the home location and the destination location. The device can generate refueling information, associated with the vehicle, wherein the refueling information includes information identifying at least one of: the estimated quantity of trips between the home location and the destination location, a recommended date and time to refuel the vehicle, or a recommended refueling location. The device can transmit the refueling information to the client device.

Abstract: A detection system may include a first sleeve shaped to receive and retain a buckle of a child safety seat. The first sleeve may include a first body portion shaped to receive and retain the buckle, a male connector portion integrally formed with the first body portion, and a transmitter electrically coupled to the male connector portion. The detection system may include a second sleeve shaped to receive and retain a buckle connector. The second sleeve may include a second body portion shaped to receive and retain the buckle connector, a female connector portion connected to the second body portion, and a battery electrically coupled to the female connector portion and configured to provide energy to the transmitter when the male connector portion communicates with the female connector portion. The transmitter may generate a signal, indicating a presence of a child, when the transmitter receives energy from the battery.

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: A method, system, and computer-readable medium are provided to transmit, via a wireless network from an on-board diagnostic interface coupled to a diagnostic port of a vehicle, telematics data collected during the vehicle's operation; transmit, via the wireless network from a monitoring device, physiological data obtained for the vehicle's operator at corresponding points in time during the vehicle's operation; determine multiple roadway locations of the vehicle at the corresponding points in time, using the telematics data; determine a physiological state of the operator at each of the multiple roadway locations at the corresponding points in time, using the physiological data; determine, using the physiological states, a stress level profile associated with the operator for each travel route to a destination and including the multiple roadway locations, and send, to the operator, a recommendation identifying travel routes based on the associated stress level profiles.

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 can receive sensor data from a plurality of sensor devices. The sensor data can include information relating to vibrations detected by the plurality of sensor devices. The device can determine, based on the information relating to vibrations, whether the vibrations are likely to be associated with one or more primary waves of a seismic event. The device can predict, based on determining that the vibrations are likely to be associated with the one or more primary waves, a geographic area that is likely to be impacted by one or more secondary waves of the seismic event. The device can transmit, based on predicting the geographic area, and to one or more of a plurality of user equipments, one or more of a notification providing information relating to the seismic event or instructions to perform one or more actions.

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 detection system may include a first sleeve shaped to receive and retain a buckle of a child safety seat. The first sleeve may include a first body portion shaped to receive and retain the buckle, a male connector portion integrally formed with the first body portion, and a transmitter electrically coupled to the male connector portion. The detection system may include a second sleeve shaped to receive and retain a buckle connector. The second sleeve may include a second body portion shaped to receive and retain the buckle connector, a female connector portion connected to the second body portion, and a battery electrically coupled to the female connector portion and configured to provide energy to the transmitter when the male connector portion communicates with the female connector portion. The transmitter may generate a signal, indicating a presence of a child, when the transmitter receives energy from the battery.

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 can receive sensor data from a plurality of sensor devices. The sensor data can include information relating to vibrations detected by the plurality of sensor devices. The device can determine, based on the information relating to vibrations, whether the vibrations are likely to be associated with one or more primary waves of a seismic event. The device can predict, based on determining that the vibrations are likely to be associated with the one or more primary waves, a geographic area that is likely to be impacted by one or more secondary waves of the seismic event. The device can transmit, based on predicting the geographic area, and to one or more of a plurality of user equipments, one or more of a notification providing information relating to the seismic event or instructions to perform one or more actions.

Abstract: A method, system, and computer-readable medium are provided to transmit, via a wireless network from an on-board diagnostic interface coupled to a diagnostic port of a vehicle, telematics data collected during the vehicle's operation; transmit, via the wireless network from a monitoring device, physiological data obtained for the vehicle's operator at corresponding points in time during the vehicle's operation; determine multiple roadway locations of the vehicle at the corresponding points in time, using the telematics data; determine a physiological state of the operator at each of the multiple roadway locations at the corresponding points in time, using the physiological data; determine, using the physiological states, a stress level profile associated with the operator for each travel route to a destination and including the multiple roadway locations, and send, to the operator, a recommendation identifying travel routes based on the associated stress level profiles.

Abstract: A device can receive fuel information associated with a vehicle and location information associated with the vehicle. The device can determine a home location associated with a user of a client device and a destination location associated with the user. The device can determine an estimated fuel usage, of the vehicle, associated with a route between the home location and the destination location. The device can determine an estimated quantity of trips between the home location and the destination location. The device can generate refueling information, associated with the vehicle, wherein the refueling information includes information identifying at least one of: the estimated quantity of trips between the home location and the destination location, a recommended date and time to refuel the vehicle, or a recommended refueling location. The device can transmit the refueling information to the client device.