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. The processing may include analyzing the sensor information to identify one or more risk objects, such as animals, pedestrians…
Aspects of the disclosure relate to computing platforms that utilize improved machine learning techniques to identify vehicle problems and control ancillary computing systems. A computing platform may receive vibration data corresponding to a vehicle component. Using one or more machine learning…
A computing system comprises one or more processors and one or more storage devices that comprise instruction code. The instruction code is executable by the processors to cause the computing system to receive battery characteristic information associated with a battery of a vehicle, receive…
Implementations claimed and described herein provide systems and methods for simulating traffic using synthetic data based on agent-based modeling that simulates real drivers in a particular geographic area and time frame. In one implementation, inputting, in a machine-learning model of a…
Aspects of the disclosure relate to computing platforms that utilize improved machine learning techniques for dynamic device quality evaluation. A computing platform may receive driving data from a mobile device. Using the driving data, the computing platform may compute a plurality of driving…
Aspects of the disclosure relate to multicomputer processing of vehicle operational data from telematics devices and other sources with centralized event control. An event control computing platform may receive vehicle operational data from a telematics device associated with a user. Subsequently…
Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data…
Aspects of the present disclosure describe systems, methods, and devices for automated vehicular control based on glare detected by an optical system of a vehicle. In some aspects, automated control includes controlling the operation of the vehicle itself, a vehicle subsystem, or a vehicle…
Implementations claimed and described herein provide systems and methods for generating a prediction for a likelihood of a collision based on a respective collision prediction algorithm for a particular type of impact. In one implementation, determining, by a collision prediction algorithm, a…
Systems and methods are disclosed for determining a distraction level of a driver. A real-time driver analysis computer may receive sensor data from one or more driver analysis sensors. The real-time driver analysis computer may analyze the sensor data to determine a distraction level of a driver…
Event-based and subscription-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises receiving first data acquired by a first plurality of vehicle operation sensors of a first vehicle from a first computing device associated with a…
Methods, computer-readable media, systems and apparatuses for determining a blind corner navigational score based on real-time or near real-time navigational analysis using sensor data, digital image data, and a map database are discussed. In some arrangements, detection of a blind sensor may be…
Intelligent voice response systems and methods may include one or more machine readable instructions stored in a memory that cause a processor to receive an automated input including at least two of the following: a vehicle metric of the vehicle, a driving score of a user of the vehicle, a driving…
Aspects of the disclosure relate to using machine learning methods for customized output generation. A computing platform may train a model (using historical data) by classifying the historical data by a trip context, a device interaction context, and physical condition context, or a personality…
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…
Aspects of the present disclosure relate to using vehicle telematics to detect, evaluate, and respond to driving behaviors observed during a trip in a vehicle. The vehicle telematics information may characterize the observed driving behaviors, the segments traveled in the vehicle, and type of use…
Implementations claimed and described herein provide systems and methods for generating instructions for a mobile electric vehicle (EV) charging station to meet an EV at a particular time and place. In one implementation, EV trip data including a remaining range of the EV and an intended route of…
Intelligent voice response systems and methods may include one or more machine readable instructions stored in a memory that cause a processor to receive an automated input including at least two of the following: a vehicle metric of the vehicle, a driving score of a user of the vehicle, a driving…
Exhaustive driving analytical methods, systems, are apparatuses are described. The methods, systems, are apparatuses relate to utilizing partially available data associated with driver and/or driving behaviors to determine safety factors, identify times to react to events, and contextual…
Disclosed herein are systems and/or methods for determining an insurance status for one or more drivers and/or vehicles. The system may identify a driver of a vehicle, such as by facial recognition or a retinal scan. Based on the identification, the system may determine the insurance status of the…
Event-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises identifying the occurrence of an event, storing first data corresponding to apparatus operation for a first threshold amount of time prior to the event, during the…
A system including a computing device may receive base map information, including attribute information associated with a plurality of road segments, and trip request information. Based on this information, a route for the user to travel may be determined. The system might further calculate a risk…
One or more devices in a data analysis computing system may be configured to receive and analyze acceleration data corresponding to driving data, analyze the acceleration data, and determine driving patterns and associated drivers based on the data. Acceleration data may be collected by one or more…
Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operation…
Implementations claimed and described herein provide systems and methods for generating a driving behavior assessment using telematics data. The systems and methods use different types of telematics data generated via different data connections. Vehicle behavior telematics data is generated using a…
Implementations claimed and described herein provide systems and methods for determining fuel efficiency based on sensor data from a mobile device. In one implementation, sensor data from a mobile device is collected. The sensor data includes a dataset that reflects a last trip on a vehicle by the…
Implementations include classifying vehicle trips as similar to previous trips or trips reversed based on location information of a vehicle received from a location device. Unique tile identifiers of the trip, each corresponding to a geographic area and the location information, may be determined…
Implementations include classifying vehicle trips as similar to previous trips based on location information of a vehicle received from a location device. Unique tile identifiers of the trip, each corresponding to a geographic area and the location information, may be determined and used to…
A multi-stop route selection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device, and a server computer. The server computer may receive driving data of a driver of the vehicle and a vehicle location from the telematics…
Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may…