Tesis de maestría / master thesis

Comparison of driving patterns using dimensionless numbers

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Abstract

The following study explores alternatives for comparing driving patterns across various regions or drivers to identify strategies to reduce fuel consumption and the emissions of greenhouse gases and air pollutants from the transport sector. The method implied isolates the factors influencing driving patterns such as external, human, and technological through the application of dimensionless numbers, an innovative methodology proposed to assess the energy use in vehicles. Aiming to demonstrate the applicability of the methodologies, the daily operative conditions of samples of vehicles were observed and registered second by second with the same technology in three very diverse regions for a prolonged period (>2.5 years). Results show actionable insights that could be used by governmental authorities interested in improving transport infrastructure and fleet managers interested in reducing fuel consumption.

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https://orcid.org/0000-0003-4508-6453

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El usuario tiene la obligación de utilizar los servicios y contenidos proporcionados por la Universidad, en particular, los impresos y recursos electrónicos, de conformidad con la legislación vigente y los principios de buena fe y en general usos aceptados, sin contravenir con su realización el orden público, especialmente, en el caso en que, para el adecuado desempeño de su actividad, necesita reproducir, distribuir, comunicar y/o poner a disposición, fragmentos de obras impresas o susceptibles de estar en formato analógico o digital, ya sea en soporte papel o electrónico. Ley 23/2006, de 7 de julio, por la que se modifica el texto revisado de la Ley de Propiedad Intelectual, aprobado

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