Next Article in Journal
An Assessment of Government Capacity Building to Restrict the Marketing of Unhealthy Food and Non-Alcoholic Beverage Products to Children in the Region of the Americas
Next Article in Special Issue
Drinking and Night-Time Driving May Increase the Risk of Severe Health Outcomes: A 5-Year Retrospective Study of Traffic Injuries among International Travelers at a University Hospital Emergency Center in Thailand
Previous Article in Journal
UJAmI Location: A Fuzzy Indoor Location System for the Elderly
Previous Article in Special Issue
Risky Driver Recognition with Class Imbalance Data and Automated Machine Learning Framework
Article

Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain

1
University Institute for Automobile Research Francisco Aparicio Izquierdo (INSIA-UPM), Universidad Politécnica de Madrid (UPM), 28006 Madrid, Spain
2
Transportation Engineering Research Group, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador
3
Statistics Department, Escuela Técnica Superior de Ingenieros Industriales (ETSII-UPM), Universidad Politécnica de Madrid (UPM), 28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Ediriweera Desapriya and Kazuko Okamura
Int. J. Environ. Res. Public Health 2021, 18(16), 8327; https://doi.org/10.3390/ijerph18168327
Received: 18 June 2021 / Revised: 2 August 2021 / Accepted: 3 August 2021 / Published: 6 August 2021
(This article belongs to the Special Issue Driving Behaviors and Road Safety)
Knowledge of the kilometers traveled by vehicles is essential in transport and road safety studies as an indicator of exposure and mobility. Its application in the determination of user risk indices in a disaggregated manner is of great interest to the scientific community and the authorities in charge of ensuring road safety on highways. This study used a sample of the data recorded during passenger vehicle inspections at Vehicle Technical Inspection stations and housed in a data warehouse managed by the General Directorate for Traffic of Spain. This study has three notable characteristics: (1) a novel data source is explored, (2) the methodology developed applies to other types of vehicles, with the level of disaggregation the data allows, and (3) pattern extraction and the estimate of mobility contribute to the continuous and necessary improvement of road safety indicators and are aligned with goal 3 (Good Health and Well-Being: Target 3.6) of The United Nations Sustainable Development Goals of the 2030 Agenda. An Operational Data Warehouse was created from the sample received, which helped in obtaining inference values for the kilometers traveled by Spanish fleet vehicles with a level of disaggregation that, to the knowledge of the authors, was unreachable with advanced statistical models. Three machine learning methods, CART, random forest, and gradient boosting, were optimized and compared based on the performance metrics of the models. The three methods identified the age, engine size, and tare weight of passenger vehicles as the factors with greatest influence on their travel patterns. View Full-Text
Keywords: kilometers traveled; passenger vehicles; CART; random forest; gradient boosting; prediction; mobility pattern kilometers traveled; passenger vehicles; CART; random forest; gradient boosting; prediction; mobility pattern
Show Figures

Figure 1

MDPI and ACS Style

Narváez-Villa, P.; Arenas-Ramírez, B.; Mira, J.; Aparicio-Izquierdo, F. Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain. Int. J. Environ. Res. Public Health 2021, 18, 8327. https://doi.org/10.3390/ijerph18168327

AMA Style

Narváez-Villa P, Arenas-Ramírez B, Mira J, Aparicio-Izquierdo F. Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain. International Journal of Environmental Research and Public Health. 2021; 18(16):8327. https://doi.org/10.3390/ijerph18168327

Chicago/Turabian Style

Narváez-Villa, Paúl, Blanca Arenas-Ramírez, José Mira, and Francisco Aparicio-Izquierdo. 2021. "Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain" International Journal of Environmental Research and Public Health 18, no. 16: 8327. https://doi.org/10.3390/ijerph18168327

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop