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Regression scores to identify risky drivers from braking pulses

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Regression scores to identify risky drivers from braking pulses

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Sun, S.; Bi, J.; Guillen, M.; Pérez-Marín, AM. (2020). Regression scores to identify risky drivers from braking pulses. Editorial Universitat Politècnica de València. 59-67. https://doi.org/10.4995/CARMA2020.2020.11514

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148997

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Title: Regression scores to identify risky drivers from braking pulses
Author: Sun, Shuai Bi, Jun Guillen, Montserrat Pérez-Marín, Ana Maria
Issued date:
Abstract:
[EN] Driving data record information on style and patterns of vehicles that are in motion. These data are analysed to obtain risk scores that can later be implemented in insurance pricing schemes. Scores may also be used ...[+]
Subjects: Web data , Internet data , Big data , Qca , Pls , Sem , Conference , Telematics , Logistic regression , Insurance , Risk measures , Traffic safety
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490488324
DOI: 10.4995/CARMA2020.2020.11514
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11514
Conference name: CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: Julio 08-09,2020
Type: Capítulo de libro Comunicación en congreso

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