Abstract: The present disclosure relates to systems and methods for identifying vehicle asset pairings.

Abstract: at least one data storage operable to store at least a plurality of databases, each database storing telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; and at least one processor in communication with the at least one data storage, the at least one processor operable to: generate training data for training a machine learning model by: generating a natural language request comprising a textual question relating to the telematics data by inputting into the machine learning model at least: a contextual prompt providing to the machine learning model at least one or more features of the plurality of databases, and instructions to generate the natural language request based on the contextual prompt; generating an executable query for retrieving a portion of the telematics data that is responsive to the natural language request from one of the plurality of databases by inputting into the machine learning model at least the natural language request; executing the

Abstract: The present disclosure relates to systems and methods for retrieving telematics data. A method for retrieving telematics data may comprise operating at least one processor to: provide a plurality of databases, each database storing at least telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; receive a natural language request from a user; generate, using a large language model (LLM) that does not have access to the plurality of databases, an executable query for retrieving a portion of the telematics data that is responsive to the natural language request from the database by inputting into the LLM at least: a contextual prompt, and the natural language request; execute the executable query; and return at least the portion of the telematics data to the user.

Abstract: A method of conducting two-way communication between a first NFC enabled device and a second NFC enabled device. The method includes transmitting a write command from the first NFC enabled device to the second NFC enabled device. A silent mode of the second NFC enabled device, in which the presence of the second NFC enabled device is hidden from the first NFC enabled device, is then activated. While the silent mode is activated, the second NFC enabled device processes the write command and writes a response in a memory of the second NFC enabled device. The silent mode is then deactivated, which triggers the first NFC enabled device to read the response in the memory of the second NFC enabled device.

Abstract: A method of conducting two-way communication between a first NFC enabled device and a second NFC enabled device. The method includes transmitting a write command from the first NFC enabled device to the second NFC enabled device. A silent mode of the second NFC enabled device, in which the presence of the second NFC enabled device is hidden from the first NFC enabled device, is then activated. While the silent mode is activated, the second NFC enabled device processes the write command and writes a response in a memory of the second NFC enabled device. The silent mode is then deactivated, which triggers the first NFC enabled device to read the response in the memory of the second NFC enabled device.

Abstract: The present disclosure relates to systems and methods for retrieving telematics data as well as for training machine learning models.

Abstract: The present disclosure relates to systems and methods for identifying vehicle asset pairings.

Abstract: Methods, systems, and devices for data capture instructions for asset tracking are provided. An example method for capturing data involves obtaining raw data from a data source onboard an asset and monitoring the raw data for satisfaction of a simplified data capture trigger. When the simplified data capture trigger is satisfied, a dataset simplification algorithm is performed on the raw data to generate a simplified set of raw data, and the simplified set of raw data is logged. The method further involves monitoring the raw data for satisfaction of a rich data capture trigger. When the rich data capture trigger is satisfied, an unsimplified block of raw data is identified and logged for rich data analysis. The data is transmitted to a server. The unsimplified block of raw data contains raw data that is additional to the raw data contained in the simplified set of raw data.

Abstract: The present disclosure provides method for producing neural precursor cells with a glial bias from induced pluripotent cells and further differentiating the neural precursor cells to astrocytes. Further provided herein are methods for the use of the astrocytes for screening assays, models mimicking the human brain, and cell therapy.

Abstract: A traffic analysis system analyzes location data from a plurality of vehicles to determine journeys made by the vehicles. Vehicles may make one or more rest stops during a journey. The traffic analysis system compares rest periods to journey criteria to determine whether a rest period delineates the end of a journey, or whether a rest period is still within the journey. In this way, a plurality of trips can be chained together into a journey to provide more accurate analysis of traffic patterns.

Abstract: A traffic analysis system analyzes location data from a plurality of vehicles to determine journeys made by the vehicles. Vehicles may make one or more rest stops during a journey. The traffic analysis system compares rest periods to journey criteria to determine whether a rest period delineates the end of a journey, or whether a rest period is still within the journey. In this way, a plurality of trips can be chained together into a journey to provide more accurate analysis of traffic patterns.

Abstract: Methods, systems, and devices for data capture instructions for asset tracking are provided. An example method for capturing data involves obtaining raw data from a data source onboard an asset and monitoring the raw data for satisfaction of a simplified data capture trigger. When the simplified data capture trigger is satisfied, a dataset simplification algorithm is performed on the raw data to generate a simplified set of raw data, and the simplified set of raw data is logged. The method further involves monitoring the raw data for satisfaction of a rich data capture trigger. When the rich data capture trigger is satisfied, an unsimplified block of raw data is identified and logged for rich data analysis. The data is transmitted to a server. The unsimplified block of raw data contains raw data that is additional to the raw data contained in the simplified set of raw data.

Abstract: Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.

Abstract: Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.

Abstract: Disclosed are systems and methods relating to providing intersection metrics based on road network data and telematic data.

Abstract: Methods, systems, and devices for data capture instructions for asset tracking are provided. An example method for capturing data involves obtaining raw data from a data source onboard an asset and monitoring the raw data for satisfaction of a simplified data capture trigger. When the simplified data capture trigger is satisfied, a dataset simplification algorithm is performed on the raw data to generate a simplified set of raw data, and the simplified set of raw data is logged. The method further involves monitoring the raw data for satisfaction of a rich data capture trigger. When the rich data capture trigger is satisfied, an unsimplified block of raw data is identified and logged for rich data analysis. The data is transmitted to a server. The unsimplified block of raw data contains raw data that is additional to the raw data contained in the simplified set of raw data.

Abstract: A traffic analysis system analyzes location data from a plurality of vehicles to determine journeys made by the vehicles. Vehicles may make one or more rest stops during a journey. The traffic analysis system compares rest periods to journey criteria to determine whether a rest period delineates the end of a journey, or whether a rest period is still within the journey. In this way, a plurality of trips can be chained together into a journey to provide more accurate analysis of traffic patterns.

Abstract: An automated advertising scheduling and distribution process reacts to the effectiveness of sales data. A hosted platform creates location-specific playlists based on key consumer variables that impact buying behavior, and dynamically performs data analytics. Utilizing a programmatic system and machine learning algorithmic methodology, the platform gathers data from the retailer's data warehouse and automatically pulls location-by-location sales data while simultaneously collecting playback data. If sales are not being affected on the particular item that is being promoted, then the platform may be configured to replace that message with a promotional message for another product with a higher likelihood of engagement and conversion. This virtual feedback loop ensures that the platform is optimizing the most effective series of promotional messages for any given location.

Abstract: Methods, systems, and devices for data capture trigger configuration for asset tracking are provided. Another example method capturing raw data involves obtaining a rich data capture trigger that defines when a controller of an asset tracking device onboard an asset is to identify and log an unsimplified block of raw data in raw data on the asset tracking device for rich data analysis, transmitting data capture instructions to the asset tracking device that contains the rich data capture trigger, and receiving the simplified set of raw data and the unsimplified block of raw data from the asset tracking device.

Abstract: System for automatically classifying vehicle vocation and benchmarking vehicle performance relative to other vehicles having the same vocation classification, independent of vehicle fleet groupings, industry vehicle application groupings and vehicle type groupings, is disclosed. The system includes a vehicle vocation classifier in communication with a data management system to store historical vehicle data including recurring vehicle usage data, and assign one or more predicted vocations for each vehicle based on the recurring vehicle usage data using a machine learning technique. The system also includes a benchmarking management system for grouping the historical vehicle data for vehicles of same determined predicted vocation, determining therefrom benchmarking vehicles having better performance characteristics than other vehicles of the same determined predicted vocation, and benchmarking performance of the other predicted vocation vehicles relative to the benchmarking vehicles.