Abstract: Systems and methods in accordance with embodiments of the invention can obtain and use a variety of telematics data to classify trips taken by a vehicle. Trip models can be generated based on telematics data captured during the operation of a vehicle. A variety of features of the trip model, such as the timing and/or location of stops made by the vehicle during one or more trips, can be used to classify the trip as a business trip or a personal trip. In several embodiments, machine classifiers are trained to classify features within the trip models based on historical trips that have been classified as business trips or personal trips. A number of trip models can be combined with other driver attributes to classify a particular vehicle and/or driver as engaged with a transportation network company.

Abstract: Systems and methods in accordance with embodiments of the invention can obtain and use a variety of telematics data to classify trips taken by a vehicle. Trip models can be generated based on telematics data captured during the operation of a vehicle. A variety of features of the trip model, such as the timing and/or location of stops made by the vehicle during one or more trips, can be used to classify the trip as a business trip or a personal trip. In several embodiments, machine classifiers are trained to classify features within the trip models based on historical trips that have been classified as business trips or personal trips. A number of trip models can be combined with other driver attributes to classify a particular vehicle and/or driver as engaged with a transportation network company.

Abstract: Systems and methods in accordance with embodiments of the invention can obtain and use a variety of telematics data to classify trips taken by a vehicle. Trip models can be generated based on telematics data captured during the operation of a vehicle. A variety of features of the trip model, such as the timing and/or location of stops made by the vehicle during one or more trips, can be used to classify the trip as a business trip or a personal trip. In several embodiments, machine classifiers are trained to classify features within the trip models based on historical trips that have been classified as business trips or personal trips. A number of trip models can be combined with other driver attributes to classify a particular vehicle and/or driver as engaged with a transportation network company.

Abstract: Systems and methods in accordance with embodiments of the invention can obtain and use a variety of telematics data to classify trips taken by a vehicle. Trip models can be generated based on telematics data captured during the operation of a vehicle. A variety of features of the trip model, such as the timing and/or location of stops made by the vehicle during one or more trips, can be used to classify the trip as a business trip or a personal trip. In several embodiments, machine classifiers are trained to classify features within the trip models based on historical trips that have been classified as business trips or personal trips. A number of trip models can be combined with other driver attributes to classify a particular vehicle and/or driver as engaged with a transportation network company.

Abstract: In some embodiments an apparatus includes a processor included within a compute device, operatively coupled to a memory, and is configured to execute an application module and a recording module. The application module is configured to receive, at a compute device, an indication of a user selection of a video request from a list of video requests. The video request is associated with a list of characteristics and is associated with a video request identifier. The application module is configured to, based on the video request identifier, define a video recording environment in accordance with the list of characteristics. The recording module is configured to record, during a time and using a camera integrated with the compute device, a video such in accordance with the list of characteristics. The application module is configured to associate the video with a relationship indicator indicative of the relationship between the video and the video request.

Abstract: In some embodiments an apparatus includes a processor included within a compute device, operatively coupled to a memory, and is configured to execute an application module and a recording module. The application module is configured to receive, at a compute device, an indication of a user selection of a video request from a list of video requests. The video request is associated with a list of characteristics and is associated with a video request identifier. The application module is configured to, based on the video request identifier, define a video recording environment in accordance with the list of characteristics. The recording module is configured to record, during a time and using a camera integrated with the compute device, a video such in accordance with the list of characteristics. The application module is configured to associate the video with a relationship indicator indicative of the relationship between the video and the video request.