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A Method to Identify Aggressive Driver Behaviour Based on Enriched GPS Data Analysis

Authors:
Marcio Geovani Jasinski
Fabiano Baldo

Keywords: Naturalistic driving; Driver profile; Aggressive driving; GPS; Speed; Acceleration

Abstract:
The main cause of road casualties is related to the driver behavior. The identification of unsafe driving is an important step in order to take actions to change this situation. A novel approach to address driver behavior is called naturalistic driving. This approach tries to understand drivers' behavior during every day trips by analyzing their moving recorded data through non intrusive GPS gathering devices. Based on that premise, this paper presents a method aimed at identifying aggressive behavior in order to reduce risk of accidents. As a consequence, it is expected to improve drivers awareness about theirs drive behaviours as well as to notify transportation and insurance companies about the drivers way of driving. The proposed method is composed by four steps, which includes data gathering, pre-processing, semantic enrichment and Trajectory Aggressivity Indicator (TAI) calculation. This indicator varies from 0 to 100 where 0 means no aggressive behavior and 100 means very aggressive behavior. The main contribution is to provide an adaptive approach that consider environmental conditions as weather and traffic to better estimate the TAI. Preliminary results pointed out that the method can identify aggressive behavior almost in a real time manner, which might be used to notify dangerous behavior before an accident happen.

Pages: 97 to 102

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-539-5

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017