Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals

Rivera Campoverde Néstor Diego; Paúl Andrés Molina Campoverde; Gina Pamela Quirola Novillo; Andrea Karina Naula Bermeo

doi:10.1007/978-3-030-59194-6_11

Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals

Rivera Campoverde Néstor Diego, Paúl Andrés Molina Campoverde, Gina Pamela Quirola Novillo, Andrea Karina Naula Bermeo

Grupo de Investigación en Ingeniería Del Transporte (GIIT)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

5 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Systems and Information Sciences - Proceedings of ICCIS 2020
Editores	Miguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	121-133
Número de páginas	13
ISBN (versión impresa)	9783030591939
DOI	https://doi.org/10.1007/978-3-030-59194-6_11
Estado	Publicada - 2021
Evento	1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador Duración: 27 jul. 2020 → 29 jul. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1273 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	1st International Conference on Systems and Information Sciences, ICCIS 2020
País/Territorio	Ecuador
Ciudad	Manta
Período	27/07/20 → 29/07/20

Nota bibliográfica

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.

Acceder al documento

10.1007/978-3-030-59194-6_11

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Néstor Diego, R. C., Molina Campoverde, P. A., Quirola Novillo, G. P., & Naula Bermeo, A. K. (2021). Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals. En M. Botto-Tobar, W. Zamora, J. Larrea Plúa, J. Bazurto Roldan, & A. Santamaría Philco (Eds.), Systems and Information Sciences - Proceedings of ICCIS 2020 (pp. 121-133). (Advances in Intelligent Systems and Computing; Vol. 1273 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59194-6_11

Néstor Diego, Rivera Campoverde ; Molina Campoverde, Paúl Andrés ; Quirola Novillo, Gina Pamela et al. / Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals. Systems and Information Sciences - Proceedings of ICCIS 2020. editor / Miguel Botto-Tobar ; Willian Zamora ; Johnny Larrea Plúa ; José Bazurto Roldan ; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. pp. 121-133 (Advances in Intelligent Systems and Computing).

@inproceedings{21173ea602314163a7dbed1c4b970d52,

title = "Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals",

abstract = "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{\textregistered} 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.",

keywords = "Engine brake, Gear change, k-means, OBD II, Start",

author = "{N{\'e}stor Diego}, {Rivera Campoverde} and {Molina Campoverde}, {Pa{\'u}l Andr{\'e}s} and {Quirola Novillo}, {Gina Pamela} and {Naula Bermeo}, {Andrea Karina}",

note = "Publisher Copyright: {\textcopyright} 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.; 1st International Conference on Systems and Information Sciences, ICCIS 2020 ; Conference date: 27-07-2020 Through 29-07-2020",

year = "2021",

doi = "10.1007/978-3-030-59194-6_11",

language = "English",

isbn = "9783030591939",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "121--133",

editor = "Miguel Botto-Tobar and Willian Zamora and {Larrea Pl{\'u}a}, Johnny and {Bazurto Roldan}, Jos{\'e} and {Santamar{\'i}a Philco}, Alex",

booktitle = "Systems and Information Sciences - Proceedings of ICCIS 2020",

address = "Germany",

}

Néstor Diego, RC, Molina Campoverde, PA, Quirola Novillo, GP & Naula Bermeo, AK 2021, Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals. En M Botto-Tobar, W Zamora, J Larrea Plúa, J Bazurto Roldan & A Santamaría Philco (eds.), Systems and Information Sciences - Proceedings of ICCIS 2020. Advances in Intelligent Systems and Computing, vol. 1273 AISC, Springer Science and Business Media Deutschland GmbH, pp. 121-133, 1st International Conference on Systems and Information Sciences, ICCIS 2020, Manta, Ecuador, 27/07/20. https://doi.org/10.1007/978-3-030-59194-6_11

Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals. / Néstor Diego, Rivera Campoverde; Molina Campoverde, Paúl Andrés; Quirola Novillo, Gina Pamela et al.
Systems and Information Sciences - Proceedings of ICCIS 2020. ed. / Miguel Botto-Tobar; Willian Zamora; Johnny Larrea Plúa; José Bazurto Roldan; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. p. 121-133 (Advances in Intelligent Systems and Computing; Vol. 1273 AISC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals

AU - Néstor Diego, Rivera Campoverde

AU - Molina Campoverde, Paúl Andrés

AU - Quirola Novillo, Gina Pamela

AU - Naula Bermeo, Andrea Karina

N1 - 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.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Engine brake

KW - Gear change

KW - k-means

KW - OBD II

KW - Start

UR - http://www.scopus.com/inward/record.url?scp=85094104734&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-59194-6_11

DO - 10.1007/978-3-030-59194-6_11

M3 - Conference contribution

AN - SCOPUS:85094104734

SN - 9783030591939

T3 - Advances in Intelligent Systems and Computing

SP - 121

EP - 133

BT - Systems and Information Sciences - Proceedings of ICCIS 2020

A2 - Botto-Tobar, Miguel

A2 - Zamora, Willian

A2 - Larrea Plúa, Johnny

A2 - Bazurto Roldan, José

A2 - Santamaría Philco, Alex

PB - Springer Science and Business Media Deutschland GmbH

T2 - 1st International Conference on Systems and Information Sciences, ICCIS 2020

Y2 - 27 July 2020 through 29 July 2020

ER -

Néstor Diego RC, Molina Campoverde PA, Quirola Novillo GP, Naula Bermeo AK. Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals. En Botto-Tobar M, Zamora W, Larrea Plúa J, Bazurto Roldan J, Santamaría Philco A, editores, Systems and Information Sciences - Proceedings of ICCIS 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 121-133. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-59194-6_11

Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto