Resumen
This work analyzed the driving style influence on total polluting emissions emitted by an internal combustion vehicle. In this research, the most sold sedan vehicle in Ecuador was used. Parameters used to define the driving style were speed and acceleration; with these information, two styles were classified: normal and aggressive. There are no formal studies in the media about the relationship between pollutant emissions and driving style. Output variables used were vehicle fuel consumption and CO2, CO, HC and NOX pollutant emissions, and as input variables, driving parameters: intake manifold absolute pressure, throttle position, engine speed, speed and the acceleration of the vehicle. It was identified the most important variables such as MAP, TPS, VSS, and RPM with a determination index of 0.97519. Information was acquired by a data logger device, and post-processed using automatic learning techniques was verified a direct relationship between driving style and the polluting emissions, as well as fuel consumption. Therefore, it was verified that a normal driving style can reduce pollutant emissions by up to 22%, for which it is recommended that drivers should avoid sudden acceleration and sudden braking.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021 |
| Editores | Álvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero |
| Editorial | Springer Science and Business Media Deutschland GmbH |
| Páginas | 321-331 |
| Número de páginas | 11 |
| ISBN (versión impresa) | 9789811641251 |
| DOI | |
| Estado | Publicada - 2022 |
| Evento | 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online Duración: 26 may. 2021 → 28 may. 2021 |
Serie de la publicación
| Nombre | Smart Innovation, Systems and Technologies |
|---|---|
| Volumen | 252 |
Conferencia
| Conferencia | 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 |
|---|---|
| Ciudad | Virtual, Online |
| Período | 26/05/21 → 28/05/21 |
Nota bibliográfica
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Areas de Conocimiento del CACES
- 617A Diseño y construcción de vehículos, barcos y aeronaves motorizadas
Proyectos
- 1 Terminado
-
Caracterización del parque automotor a través de la aplicación de arquitecturas Machine Learning para determinar los efectos sobre la sociedad del cantón Cuenca
Rivera Campoverde, N. D. (Investigador Secundario), Montero Salgado, J. P. (Investigador principal), Vazquez Salazar, J. S. (Investigador Secundario), Aguilar Romero, A. Y. (Estudiante Investigador), Garate Montalvo, D. A. (Estudiante Investigador), Contreras Urgiles, R. W. (Investigador Secundario), Bermeo Naula, A. K. (Estudiante Investigador), Morocho Guaman, J. E. (Estudiante Investigador), Vacacela Romero, J. H. (Estudiante Investigador), Bautista Zeas, J. E. (Estudiante Investigador), Reinoso Mejia, L. E. (Estudiante Investigador), Fernandez Auquilla, E. P. (Estudiante Investigador), Chuva Buele, J. H. (Estudiante Investigador), Morocho Valdez, E. O. (Estudiante Investigador), Carchi Ramon, P. V. (Estudiante Investigador), Maldonado Saquisare, R. O. (Estudiante Investigador), Neira Vivanco, E. M. (Estudiante Investigador), Barrera Lazo, A. A. (Estudiante Investigador) & Nieves Merchan, C. A. (Estudiante Investigador)
19/07/18 → 3/06/22
Proyecto: Investigación y Desarrollo
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