This paper proposes a methodology to obtain a synthetic driving cycle by using GPS data as input. The aim is to obtain a driving cycle that is representative of a given condition when used for energy consumption studies. The methodology begins with a data acquisition phase, where an adequate sampling frequency is proposed. Velocity raw data are processed and clustered to capture a mobility global pattern. A synthetic driving cycle is generated from the clustered information using a two level energy model optimization. For a case study, a representative synthetic driving cycle was determined for a Bus Rapid Transit (BRT) route.
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Autor | Naranjo Lourido, W. Munoz, L. E. Pereda Torres, Javier Eduardo |
Título | A Methodology to Obtain a Synthetic Driving Cycle through GPS Data for Energy Analysis |
ISBN electrónico | 9781467376372 |
Fecha de publicación | 2015 |
Resumen | This paper proposes a methodology to obtain a synthetic driving cycle by using GPS data as input. The aim is to obtain a driving cycle that is representative of a given condition when used for energy consumption studies. The methodology begins with a data acquisition phase, where an adequate sampling frequency is proposed. Velocity raw data are processed and clustered to capture a mobility global pattern. A synthetic driving cycle is generated from the clustered information using a two level energy model optimization. For a case study, a representative synthetic driving cycle was determined for a Bus Rapid Transit (BRT) route. |
Derechos | acceso restringido |
DOI | 10.1109/VPPC.2015.7352876 |
Editorial | IEEE |
Enlace | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7352876 |
Palabra clave | Global Positioning System Vehicles Estimation Frequency estimation Energy consumption Optimization Vehicle dynamics |
Publicado en / Colección | IEEE Vehicle Power and Propulsion Conference (VPPC) (2015 : Montreal, Canadá) |
Tipo de documento | comunicación de congreso |