sustainability-07-14326-v2.pdf - Sustainability 2015 7...

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Sustainability 2015 , 7 , 14326-14343; doi:10.3390/su71014326 sustainability ISSN 2071-1050 www.mdpi.com/journal/sustainability Article A Linear Model for the Estimation of Fuel Consumption and the Impact Evaluation of Advanced Driving Assistance Systems Gennaro Nicola Bifulco, Francesco Galante, Luigi Pariota * and Maria Russo Spena Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, via Claudio 21, 80125 Naples, Italy; E-Mails: [email protected] (G.N.B.); [email protected] (F.G.); [email protected] (M.R.S.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +39-081-7683949. Academic Editor: Marc A. Rosen Received: 3 August 2015 / Accepted: 16 October 2015 / Published: 22 October 2015 Abstract: Reduction of the environmental impact of cars represents one of the biggest transport industry challenges. Beyond more efficient engines, a promising approach is to use eco-driving technologies that help drivers achieve lower fuel consumption and emission levels. In this study, a real-time microscopic fuel consumption model was developed. It was designed to be integrated into simulation platforms for the design and testing of Advanced Driving Assistance Systems (ADAS), aimed at keeping the vehicle within the environmentally friendly driving zone and hence reducing harmful exhaust gases. To allow integration in platforms employed at early stages of ADAS development and testing, the model was kept very simple and dependent on a few easily computable variables. To show the feasibility of the identification of the model (and to validate it), a large experiment involving more than 100 drivers and about 8000 km of driving was carried out using an instrumented vehicle. An instantaneous model was identified based on vehicle speed, acceleration level and gas pedal excursion, applicable in an extra-urban traffic context. Both instantaneous and aggregate validation was performed and the model was shown to estimate vehicle fuel consumption consistently with in-field instantaneous measurements. Very accurate estimations were also shown for the aggregate consumption of each driving session. Keywords: fuel consumption; Intelligent Transportation Systems; Advanced Driving Assistance Systems; instrumented vehicle; microscopic model; OBD data OPEN ACCESS
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Sustainability 2015 , 7 14327 1. Introduction The research presented here takes place in the framework of traffic behavior studies and the design of Advanced Driving Assistance Systems (ADAS). ADAS are developed by using electronic control units (ECUs) that are designed to supervise the safety, the comfort and the efficiency of the driving. Their design is carried out in the framework of the so-called automotive V-Cycle. In its basic architecture, this process is comprised of a first phase (MIL—model in the loop) of conception of the control logic characteristics and mechanisms, a second phase (SIL—software in the loop) in which the software needed to manage such a logic is developed, and a third phase (HIL—hardware in the loop)
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