| A review of Machine Learning (ML) algorithms used for modeling travel mode choice J Pineda-Jaramillo Dyna 86 (211), 32-41, 2019 | 64 | 2019 |
| Modeling the energy consumption of trains by applying neural networks J Pineda-Jaramillo, R Insa, P Martínez Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2018 | 29 | 2018 |
| Predicting the traction power of metropolitan railway lines using different machine learning models J Pineda-Jaramillo, P Martínez-Fernández, I Villalba-Sanchis, ... International Journal of Rail Transportation, 461-478, 2021 | 25 | 2021 |
| Assessing the performance of gradient-boosting models for predicting the travel mode choice using household survey data J Pineda-Jaramillo, Ó Arbeláez-Arenas Journal of Urban Planning and Development 148 (2), 04022007, 2022 | 14 | 2022 |
| Unveiling the relevance of traffic enforcement cameras on the severity of vehicle–pedestrian collisions in an urban environment with machine learning models J Pineda-Jaramillo, H Barrera-Jiménez, R Mesa-Arango Journal of Safety Research, 2022 | 14 | 2022 |
| Travel time, trip frequency and motorised-vehicle ownership: A case study of travel behaviour of people with reduced mobility in Medellín J Pineda-Jaramillo Journal of Transport & Health 22, 101110, 2021 | 14 | 2021 |
| A Shallow Neural Network approach for identifying the leading causes associated to pedestrian deaths in Medellín J Pineda-Jaramillo Journal of Transport & Health 19, 100912, 2020 | 13 | 2020 |
| Missions and factors determining the demand for affordable mass space tourism in the United States: A machine learning approach R Mesa-Arango, J Pineda-Jaramillo, D Araujo, J Bi, M Basva, F Viti Acta Astronautica, 2023 | 11 | 2023 |
| Modelling road traffic collisions using clustered zones based on Foursquare data in Medellín J Pineda-Jaramillo, Ó Arbeláez-Arenas Case Studies on Transport Policy 9 (2), 958-964, 2021 | 10 | 2021 |
| Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro … J Pineda-Jaramillo, P Salvador-Zuriaga, R Insa-Franco Dyna 84 (203), 17-23, 2017 | 10 | 2017 |
| Railway and road discrete choice model for foreign trade freight between Antioquia and the Port of Cartagena J Pineda-Jaramillo, I Sarmiento, J Córdoba Ingeniería e Investigación 36 (3), 22-28, 2016 | 10* | 2016 |
| Variables influyentes en la elección entre carretera y ferrocarril para carga general de comercio exterior J Pineda-Jaramillo, I Sarmiento Ingeniería solidaria 10 (17), 29-37, 2014 | 9 | 2014 |
| Identifying the rail operating features associated to intermodal freight rail operation delays J Pineda-Jaramillo, F Viti Transportation Research Part C: Emerging Technologies 147, 103993, 2023 | 8 | 2023 |
| Diagnóstico y evaluación de transporte de mercancías por ferrocarril en Colombia J Pineda-Jaramillo Ingeniería solidaria 12 (20), 151-161, 2016 | 7 | 2016 |
| Short-term arrival delay time prediction in freight rail operations using data-driven models J Pineda-Jaramillo, F Bigi, T Bosi, F Viti, A D’Ariano IEEE Access, 2023 | 6 | 2023 |
| Impact of symmetric vertical sinusoid alignments on infrastructure construction costs: optimizing energy consumption in metropolitan railway lines using artificial neural networks J Pineda-Jaramillo, P Salvador-Zuriaga, P Martínez-Fernández, ... Urban Rail Transit 6 (3), 145-156, 2020 | 6 | 2020 |
| Analysing travel satisfaction of tourists towards a metro system from unstructured data J Pineda-Jaramillo, D Pineda-Jaramillo Research in Transportation Business & Management 100746, 2021 | 5 | 2021 |
| Modelo de elección de modo de transporte entre carretera y ferrocarril para carga general susceptible a exportación-importación. Aplicación al corredor vial Medellín–puerto de … J Pineda-Jaramillo Universidad Nacional de Colombia, 2013 | 4 | 2013 |
| MLOps in freight rail operations J Pineda-Jaramillo, F Viti Engineering Applications of Artificial Intelligence 123, 106222, 2023 | 3 | 2023 |
| Modelo de optimización del consumo energético en trenes mediante el diseño geométrico vertical sinusoidal y su impacto en el coste de la construcción de la infraestructura J Pineda-Jaramillo Universitat Politècnica de València, 2017 | 3 | 2017 |
Francesco VitiUniversity of LuxembourgVerified email at uni.lu
