Allstate Insurance Company

Dipti Karmarkar

Kyle Patrick Schmitt

Pratheek M Harish

Alexander Herrmann

Benjamin Robertson Yeomans

David E Lambert

Clayton Jeschke

Jeremy Ber

Olivia Mahler-Haug

Samantha Mait

David Grady

Mariela Perignon

Nicholas Winter

Anjana Tayi

Bennett Hansen

Rachael Rubin

Christopher Ciesielski

Aspects of the present disclosure generally relate to systems and methods for data processing, and more specifically for classifying telematics data to identify gig driving associated with vehicle trips. In one implementation, a method may include the operations of segmenting a trip of a vehicle to yield multiple segments, generating, via a feature extraction component, one or more input features associated with each segment of the multiple segments based on input data indicating driving characteristics during the trip, determining, via a gig detection component, whether the trip is associated with gig driving based on the one or more input features associated with teach segment, and outputting an indication of whether the trip is associated with gig driving based on the determination.

System and method for gig driving detection

Systems and methods in accordance with embodiments of the invention can proactively determine if a vehicle has stopped during a trip and calculate a likelihood that the vehicle is in need of roadside assistance. Information can be collected from a variety of devices, such as mobile phones, including the vehicle's location, the type of road, passing vehicles, and/or ambient noise. The likelihood of needing roadside assistance can be determined based on a configurable probability that the vehicle is experiencing a roadside event. The arrangements described herein provide for receiving and processing data in real-time to efficiently and accurately detect stopped vehicles, determine whether the vehicle is stopped for an urgent or non-urgent situation reason, and provide assistance accordingly.

Roadside assistance detection

Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Distributed data processing systems for processing remotely captured sensor data

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Hoffman Estates, IL, United States of America

Dipti Karmarkar