Personal profile
Research Interests
Across numerous publications, the researcher continually blends data-driven modeling with transportation science to illuminate real-world fuel efficiency and emissions in Latin American urban regimes. Using real-driving data from OBD-II and GPS, Gamma regression, regression trees, neural networks, and distance- and context-aware predictors (speed, acceleration, slope, VSP, MAP, RPM, etc.), they derive robust FE models for LDVs in Quito, develop high-accuracy gear-shift classification (KNN achieving ~99.7% accuracy) and instantaneous fuel estimates, and demonstrate optimization of engine maps, fuel types, and driving styles to lower fuel consumption and pollutant outputs. Additional work includes mode classification for urban planning, energy-demand estimation for bus fleets, driving-style impact on CO, NOx, CO2, and NO2, and dynamic emissions estimation under EURO6/RDE paradigms. Overall impact: actionable, replicable frameworks for FE and emission predictions, road-safety and urban-planning insights, and guidance for ADAS and policy design in developing cities.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
Collaborations and top research areas from the last five years
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Estimation of emission factors in light-duty vehicles from testing under real-world driving conditions
Molina Campoverde, P. A. (PI), Pancha Ramos, J. M. (Col), Molina Campoverde, J. J. (Col), Andino Noroña, A. I. (Student), Rocha Marcalla, E. F. (Student), Ayala Granda, L. F. (Student), Quiroz Tasiguano, M. F. (Student) & Tipanluisa Sarchi, L. E. (Student)
1/08/25 → …
Project: Research and Development
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Characterization of Sustainable Mobility Models Using Machine Learning Architectures Applied to PID Signals Obtained via OBD II for the Study of Pollutant Emissions in the City of Cuenca
Rivera Campoverde, N. D. (PI), Bermeo Naula, A. K. (Col), Molina Campoverde, P. A. (Col), Vidal Suarez, J. S. (Student), Jachero Bravo, B. F. (Student), Semiglia Pineda, W. J. (Student), Gomez Punin, K. P. (Student), Idrovo Pulla, D. R. (Student), Narvaez Calle, J. F. (Student), Juarez Cardenas, C. A. (Student), Mendoza Criollo, P. J. (Student), Avila Ramon, H. P. (Student), Montenegro Siguenza, J. F. (Student), Angamarca Silverio, W. N. (Student), Avila Puzma, J. F. (Student), Guartazaca Uyaguari, J. S. (Student), Vasquez Segarra, C. S. (Student), Suqui Padilla, J. I. (Student), Alvarez Montenegro, J. S. (Student), Siavichay Neira, V. S. (Student), Lucero Duran, W. M. (Student), Vintimilla Leon, A. S. (Student), Pacheco Auquilla, D. S. (Student), Peralta Bueno, L. A. (Student), Juca Guaman, J. A. (Student), Ortuño Samaniego, J. I. (Student), Cardenas Ormaza, J. S. (Student) & Jimenez Lojano, E. J. (Student)
18/05/23 → 8/01/25
Project: Research and Development
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Advanced Modeling of Fuel Efficiency in Light-Duty Vehicles Using Gamma Regression with Log-Link Under Real Driving Conditions at High Altitude: Quito, Ecuador Case Study
Molina-Campoverde, P. A., Molina-Campoverde, J. J. & Tipanluisa-Portilla, J., Aug 2025, In: Energies. 18, 16, 4399.Research output: Contribution to journal › Article › peer-review
Open Access -
Developing a Methodology to Reduce Fuel Consumption and Classify Driving Styles for a Fleet of Vehicles
Batallas, M. & Molina, P., 2025, Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024. Inga Ortega, E. M., Robles-Bykbaev, V. E., García Herranz, N. & Gallego Diaz, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 185-194 10 p. (Lecture Notes in Networks and Systems; vol. 1331 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals
Molina-Campoverde, J. J., Zurita-Jara, J. & Molina-Campoverde, P., 28 Jun 2025, In: Sensors. 25, 13, 4043.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Fundamentos de los Sistemas de Inyección a Gasolina y Autotrónica Automotriz
Translated title of the contribution :Fundamentals of Gasoline Injection Systems and Automotive Autotronics Research output: Book/Report › Book
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Analysis and study of the factors involved in the accident rate of vehicles, during the period 2017-2022 in the province of Pichincha, Ecuador.
Caizaluisa, D., Dávila, J., Molina, P. & Rivera, N., 2024, In: IOP Conference Series: Earth and Environmental Science. 1370, 1, 012010.Research output: Contribution to journal › Conference article › peer-review
Open Access