Observatorio de I+D+i UPM

Memorias de investigación
Courses, Seminars and tutorials:
Using mobility information to perform feasibility studies for the introduction of electric vehicles in taxi fleets and evaluation of their impact on the electric grid
Research Areas
  • Engineering
The American Lung Association's State of the Air 2010 report found that more than half the population of the U.S. lives with dangerous pollution levels [1]. The pollutants have linked to chronic health problems like asthma, emphysema, and heart disease. Many of the pollution concentration is aligned with areas of the city that have a high density of taxi trips, therefore, electrifying the taxi fleet would have a significant positive environmental impact, reducing greenhouse emissions and improving the city?s air quality. In this lecture it is analyzed the potential of electric vehicles (EV) taxis to meet the current mobility demand met by conventional internal combustion engine (ICE) taxis. Replacing conventional taxis with EV taxis will have a number of positive effects such a reducing pollution and noise in the city and also help to reduce the customer prejudice regarding this type of new technology [2]. Real GPS data sets collected from ICE taxis in San Francisco (USA) over one month are used to determine the spatial-temporal driving behavior of the current fleet. The driving profile of taxis in cities fits very well to the requirements of EVs: a high number of short trips combined with breaks at taxi stands. From the mobility data, it is also possible to identify the most common stop locations and the time break duration, because these breaks can be used as charging opportunities. Using this mobility data, the electric consumption for each taxi journey is estimated, enabling a detailed analysis of the energy requirements of an EV taxi fleet. Finally, the electric energy demanded by these EV taxis is geo-referenced allowing to analyze the impact of the charging process on the electric grid
MTS Summer School 2015
IMOB-Hasselt University
Entity Nationality
Start Date
End Date
  • Autor: Jose Jesus Fraile Ardanuy (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Dinámicos, Aprendizaje y Control (SISDAC)
  • Departamento: Electrónica Física
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)