Abstract
Recent studies showed that one of the major environmental problems is the transport-related air pollution and road transport alone is expected to be the largest contributor to anthropogenic climate forcing in 2020. The development of more efficient vehicles, the use of alternative energy sources, and the deployment of intelligent transportation systems (ITS) are all solutions toward the decarbonization of the sector. In this chapter, an energy-oriented driving assistance system focusing on the assessment of the current driving style is proposed. In fact, it has been observed that a change of the driving style may provide savings from 5 to 40% of the total energy expenses, as well as reductions of the air pollution. The proposed system is fully integrated in a smartphone application, which acquires the signals related to the vehicle dynamics (e.g., velocity and acceleration) and computes three power-related indices containing significant information about the current driving style. Based on such indices, a feedback communication can be given to the driver (if needed) to induce a change in the driving style, which in turns would result into an energy saving. Differently from the existing studies, the proposed application is vehicle-independent and does not require any connection to the vehicle CAN-bus or OBD-interface. The effectiveness of the proposed approach is assessed via an experimental campaign carried out on urban and extra-urban routes by different drivers. Experimental results show that the proposed driving assistance system may reduce the vehicle consumption up to 30%.
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Formentin, S., Ongini, C., Savaresi, S.M. (2017). A Smartphone-Based Energy-Oriented Driving Assistance System. In: Bignami, D., Colorni Vitale, A., Lué, A., Nocerino, R., Rossi, M., Savaresi, S. (eds) Electric Vehicle Sharing Services for Smarter Cities. Research for Development. Springer, Cham. https://doi.org/10.1007/978-3-319-61964-4_11
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DOI: https://doi.org/10.1007/978-3-319-61964-4_11
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