Paulo Jorge Teixeira Fernandes

Algoritmi | User | Paulo Jorge Teixeira Fernandes

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Member of the TEMA R&D Unit

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0000-0001-5448-5048

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EF1D-8D3F-0907

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About Me

Paulo Fernandes got his PhD in the Doctoral Programme in Mechanical Engineering in the University of Aveiro, in 2017. The thesis was deserving of praise and distinction by unanimity. His current research interests include: (1) road traffic emissions monitoring, (2) emissions modelling, (3) intersection design and control strategies, (4) simulation and analysis of transport systems, active modes, and emerging mobility forms, and (5) data-driven analysis. Between 2017 and 2020, he worked as a postdoctoral researcher and later as an Assistant Researcher in the MobiWise project at the Centre for Mechanical Technology and Automation (TEMA). His main responsibility was supervising young research fellows in areas such as traffic, noise, emissions, and safety modelling. He also participated in the DICA-VE project as a Junior Researcher at TEMA (2020–2021), managing activities related to emissions monitoring and modelling. Subsequently, he served as a Junior Researcher in the Driving2Driverless project (2021), where he contributed to cost–benefit analyses of shared, autonomous, and electric vehicle services. Currently, he holds a Junior Researcher position at TEMA leading his own project, IDRIVE: Incorporating Driving Volatility Information into a Rating System to Inform Drivers about Vehicle Emission Rates, which focuses on developing rating systems for NOx and PM emissions from Euro 6 vehicles. He also completed a Postgraduate Certificate in Data Analysis for Business (2023) to strengthen his expertise in transport data analytics—particularly statistical methods, data visualization tools, data mining, and machine learning algorithms—and a course in Data Processing and Analysis with Python (2024). He was selected for and awarded grants in the COST Connect event How to Shape a Sustainable Urban Mobility for All? and the COST Action WISE-ACT Training School on Modelling and Policy Analysis Tools to Explore the Future of AVs, which enhanced his international collaboration network. In addition to his participation in several scientific projects such as @CRUiSE and InFLOWence, he collaborated in 2019 as a technical consultant in an energy audit of the transport sector in Bartica, Guyana, with the Instituto do Ambiente e Desenvolvimento, focusing on experimental survey design, energy analysis, and policy recommendations. He contributed to the University of Aveiro’s Mobility Plan (completed in January 2020), helping to design and evaluate measures promoting soft modes of transport and improving campus quality of life. Recently, he served as an External Peer Reviewer for the USEPA MOVES5 Technical Reports. He was also a member of the Organizing Committee of the EWGT 2021. Since 2017, he has supervised or co-supervised 9 master’s students in the Mechanical Engineering course. Through collaborations with researchers from North Carolina State University, the University of Tennessee, the University of Palermo, the Institute of Telecommunications, TU Delft, the University of Salerno, and the University of Coimbra, he has advanced his expertise in traffic theory, emissions monitoring, intelligent transport systems, road infrastructure, automation technologies, data collection methods, and noise modelling. He has published 40 journal articles and 18 conference papers indexed in Scopus (22 as corresponding author), amassing a total of 1,261 citations and an h-index of 22. Several of his works are among the top 20 most-cited in the fields of Transportation (Transportation Research Part D, Sustainable Cities and Society, Transportation Research Part A), Earth and Planetary Sciences (Atmospheric Environment), and Environmental Science (Science of the Total Environment, Applied Energy) according to the 2023 CiteScore ranking. He has also authored 3 book chapters and 19 papers presented at international conferences (EWGT, TRA, TRB, WCTR). Outside academia, I served as a consultant to the US EPA on using in-vehicle traffic data for emissions peaks.

Publications (85)

Large-scale sensing for driving regimes using in-vehicle data: unsupervised and supervised approaches

Travel Behaviour and Society

2027 | journal-article

Algoritmi | User | Paulo Jorge Teixeira Fernandes

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