SYSTEMS AND METHODS FOR CLASSIFYING VEHICLE TRIPS

    公开(公告)号:WO2021086714A1

    公开(公告)日:2021-05-06

    申请号:PCT/US2020/056848

    申请日:2020-10-22

    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.

    SYSTEMS AND METHODS OF CONNECTED DRIVING BASED ON DYNAMIC CONTEXTUAL FACTORS

    公开(公告)号:WO2021046103A1

    公开(公告)日:2021-03-11

    申请号:PCT/US2020/049029

    申请日:2020-09-02

    Abstract: Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. A system includes one or more sensors, coupled to a vehicle and configured to detect sensor information, and a computing device configured to communicate with one or more mobile sensors to receive the mobile sensor information, communicate with the one or more sensors to receive the sensor information, and analyze the sensor information and the mobile sensor information to identify one or more risk factors.

    MULTI-COMPUTER PROCESSING SYSTEM FOR DYNAMICALLY EXECUTING RESPONSE ACTIONS BASED ON MOVEMENT DATA

    公开(公告)号:WO2021021545A1

    公开(公告)日:2021-02-04

    申请号:PCT/US2020/043211

    申请日:2020-07-23

    Abstract: Methods, computer-readable media, systems, and/or apparatuses for evaluating movement data to identify a user as a driver or non-driver passenger are provided. In some examples, movement data may be received from a mobile device of a user. The movement data may include sensor data including location data, such as global positioning system (GPS) data, accelerometer and/or gyroscope data, and the like. Additional data may be retrieved from one or more other sources. For instance, additional data such as usage of applications on the mobile device, public transportation schedules and routes, image data, vehicle operation data, and the like, may be received and analyzed with the movement data to determine whether the user of the mobile device was a driver or non-driver passenger of the vehicle. Based on the determination, the data may be deleted in some examples or may be further processed to generate one or more outputs.

    DYNAMIC DRIVING METRIC OUTPUT GENERATION USING COMPUTER VISION METHODS

    公开(公告)号:WO2020068757A1

    公开(公告)日:2020-04-02

    申请号:PCT/US2019/052610

    申请日:2019-09-24

    Abstract: Aspects of the disclosure relate to dynamic driving metric output platforms that utilize improved computer vision methods to determine vehicle metrics from video footage. A computing platform may receive video footage from a vehicle camera. The computing platform may determine that a reference marker in the video footage has reached a beginning and an end of a road marker based on brightness transitions, and may insert time stamps into the video accordingly. Based on the time stamps, the computing platform may determine an amount of time during which the reference marker covered the road marking. Based on a known length of the road marking and the amount of time during which the reference marker covered the road marking, the computing platform may determine a vehicle speed. The computing platform may generate driving metric output information, based on the vehicle speed, which may be displayed by an accident analysis platform. Based on known dimensions of pavement markings the computing platform may obtain the parameters of the camera (e.g., focal length, camera height above ground plane and camera tilt angle) used to generate the video footage and use the camera parameters to determine the distance between the camera and any object in the video footage.

    EXHAUSTIVE DRIVING ANALYTICAL SYSTEMS AND MODELERS

    公开(公告)号:WO2020060974A1

    公开(公告)日:2020-03-26

    申请号:PCT/US2019/051409

    申请日:2019-09-17

    Abstract: Exhaustive driving analytical methods, systems, are apparatuses are described. The methods, systems, are apparatuses relate to monitoring driver and/or driving behaviors in view of an exhaustive list of variables to determine safety factors, identify times to react to events, and contextual information regarding the events. The methods, systems, and apparatuses described herein may determine, based on a systematic model, reactions and reaction times, compare the vehicle behavior (or lack thereof) to the modeled reactions and reaction times, and determine safety factors and instructions based on the comparison.

    CROWDSOURCED ROADSIDE ASSISTANCE SERVICE PROVIDER ASSIGNMENT SYSTEM

    公开(公告)号:WO2020060912A1

    公开(公告)日:2020-03-26

    申请号:PCT/US2019/051264

    申请日:2019-09-16

    Abstract: Aspects of the disclosure provide a computer-implemented method and system for the assignment of crowdsourced roadside assistance service providers to distressed vehicles/drivers requiring roadside assistance. The methods and systems may include a roadside assistance service provider system with a collection module, an assignment module, and a feedback module. The collection module collects roadside assistance service provider information and historical statistics from real-world information and stores the information in a database that may then be analyzed using particular rules and formulas. The assignment module assigns particular roadside assistance service providers to particular distressed vehicles/drivers based on one or more characteristics. The feedback module may provide near real-time cues to the roadside assistance service provider's mobile device, such as alerting when the amount of time spent on a task exceeds a predefined threshold, flagging high priority tasks/assignments, providing a technical reference for the repair.

    SHARED MOBILITY SIMULATION AND PREDICTION SYSTEM

    公开(公告)号:WO2019222167A1

    公开(公告)日:2019-11-21

    申请号:PCT/US2019/032151

    申请日:2019-05-14

    Abstract: A system may receive information indicating a service area of a shared mobility service, calculate information indicating one or more of risk or revenue associated with the provision of shared mobility services in the service area, determine an adjusted service area, wherein the adjusted service area is associated with one or more of a reduction in risk or an increase in revenue, and transmit information indicating the adjusted service area to a device associated with the shared mobility service.

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