The present project shows an algorithm capable of visualizing the behavior of the PID signals of a vehicle by identifying common driving maneuvers such as: starting, changing gear and engine braking during a road test. The data of this study were acquired through the OBD-II connector of a vehicle, by means of a data logger device capable of collecting the information and writing it to a data file. Later the data is post processed in MATLAB® using the unsupervised learning method k-means. Finally, the results obtained by the algorithm are able to discriminate the erroneous values of the signals by means of a multivariate statistical analysis that classifies the study variables: start, gear change and engine brake.
|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|
|Number of pages||13|
|State||Published - 2021|
|Event||1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador|
Duration: 27 Jul 2020 → 29 Jul 2020
|Name||Advances in Intelligent Systems and Computing|
|Conference||1st International Conference on Systems and Information Sciences, ICCIS 2020|
|Period||27/07/20 → 29/07/20|
Bibliographical notePublisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Copyright 2020 Elsevier B.V., All rights reserved.
- Engine brake
- Gear change
- OBD II