Abstract: This disclosure describes systems and methods for determining tire inflation pressure loss. An example method may include receiving first tire pressure data for a first tire of a vehicle at a first time. The example method may also include receiving second tire pressure data for the first tire at a second time. The example method may also include identifying a slow leak in the first tire based on a relationship between the first tire pressure data and the second tire pressure data. The example method may also include causing to send an alert to a user.

Abstract: A system for providing data quality management may include a processor configured to execute instructions to: extract a plurality of first data elements from a data source; generate a data profile based on the first data elements; automatically create a first set of rules based on the first data elements and the data profile, the first set of rules assessing data quality according to a threshold; generate a second set of rules based on the first data elements and the first set of rules; extract a plurality of second data elements; assess the second data elements based on a comparison of the second data elements to the second set of rules; detect defects based on the comparison; analyze data quality according to the detected defects; and transmit signals representing the data quality analysis to a client device for display to a user.

Abstract: A system for providing data quality management may include a processor configured to execute instructions to: extract a plurality of first data elements from a data source; generate a data profile based on the first data elements; automatically create a first set of rules based on the first data elements and the data profile, the first set of rules assessing data quality according to a threshold; generate a second set of rules based on the first data elements and the first set of rules; extract a plurality of second data elements; assess the second data elements based on a comparison of the second data elements to the second set of rules; detect defects based on the comparison; analyze data quality according to the detected defects; and transmit signals representing the data quality analysis to a client device for display to a user.

Abstract: Systems, methods, and computer-readable media are disclosed for optimizing vehicle scheduling in routes for fleet management. Example methods may include determining traffic data associated with one or more routes for at least one first vehicle of a fleet and determining one or more parameters from the traffic data; performing at least one first artificial intelligence (AI)-based algorithm using the one or more parameters to determine a social travel time associated with one or more second vehicles; and performing at least one second AI-based algorithm based at least in part on the social travel time to determine one or more impact parameters.

Abstract: This disclosure describes systems, methods, and computer-readable media related to fuel consumption-based driving behavior scoring. Driving data may be obtained during operation of a vehicle. Based on braking data, a braking event during a first time period may be identified, wherein the braking event exceeds a braking threshold. Based on the braking event, first coached driving data may be generated. Based on the first coached driving data, first fuel savings may be determined. Based on acceleration data, an acceleration event during a second time period may be identified, wherein the acceleration event exceeds an acceleration threshold. Based on the acceleration event, second coached driving data may be generated. Based on the second coached driving data, second fuel savings may be determined. Based on the first and second fuel savings, a total fuel savings may be determined, and a driving behavior score may be generated.

Abstract: A system for providing data quality management may include a processor configured to execute instructions to: extract a plurality of first data elements from a data source; generate a data profile based on the first data elements; automatically create a first set of rules based on the first data elements and the data profile, the first set of rules assessing data quality according to a threshold; generate a second set of rules based on the first data elements and the first set of rules; extract a plurality of second data elements; assess the second data elements based on a comparison of the second data elements to the second set of rules; detect defects based on the comparison; analyze data quality according to the detected defects; and transmit signals representing the data quality analysis to a client device for display to a user.

Abstract: A system for providing data quality management may include a processor configured to execute instructions to: extract a plurality of first data elements from a data source; generate a data profile based on the first data elements; automatically create a first set of rules based on the first data elements and the data profile, the first set of rules assessing data quality according to a threshold; generate a second set of rules based on the first data elements and the first set of rules; extract a plurality of second data elements; assess the second data elements based on a comparison of the second data elements to the second set of rules; detect defects based on the comparison; analyze data quality according to the detected defects; and transmit signals representing the data quality analysis to a client device for display to a user.

Abstract: Method and apparatus are disclosed to facilitate TPMS broadcast mode selection. An example vehicle comprises sensors, a processor, and memory. The sensor are to generate vehicle dynamics information (VDI). The processor is in communication with the memory and with the sensors. The processor is configured to: estimate relative pitch and roll angles using the VDI, estimate a tire normal force using the relative pitch and roll angles and the VDI, estimate a tire rolling resistance using the tire normal force, and estimate a tire longitudinal force and a tire lateral force based on the tire rolling resistance and the VDI.

Abstract: A system for providing data quality management may include a processor configured to execute instructions to: extract a plurality of first data elements from a data source; generate a data profile based on the first data elements; automatically create a first set of rules based on the first data elements and the data profile, the first set of rules assessing data quality according to a threshold; generate a second set of rules based on the first data elements and the first set of rules; extract a plurality of second data elements; assess the second data elements based on a comparison of the second data elements to the second set of rules; detect defects based on the comparison; analyze data quality according to the detected defects; and transmit signals representing the data quality analysis to a client device for display to a user.