Abstract
This work presents an algorithm capable of identifying two habitual driving maneuvers such as braking to decrease speed and disengaging to produce a gear change in the vehicle by studying the PID’s (Identification Parameters) signals from the electronic control unit. These signals are acquired through the OBD II connector through a data logger device capable of storing information during the engine operation. The obtained data is prost-processed using K-mean unsupervised learning algorithm. The algorithm is capable of identifying braking and clutch events in addition to classifying whether the vehicle has a motorized or mechanical body acceleration system. With the used algorithm, it is possible to determine the pilot’s driving style and the most frequently used change during a route. For this research, four vehicles from different years and manufacturers were used to verify the functionality of the algorithm.
Original language | English |
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Title of host publication | Systems and Information Sciences - Proceedings of ICCIS 2020 |
Editors | Miguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 134-143 |
Number of pages | 10 |
ISBN (Print) | 9783030591939 |
DOIs | |
State | Published - 2021 |
Event | 1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador Duration: 27 Jul 2020 → 29 Jul 2020 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 1273 AISC |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | 1st International Conference on Systems and Information Sciences, ICCIS 2020 |
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Country/Territory | Ecuador |
City | Manta |
Period | 27/07/20 → 29/07/20 |
Bibliographical note
Publisher Copyright:© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Keywords
- Braking
- Clutching
- Eco-driving
- K-means
- OBD II
- PID’s signals