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- 저자 : Javier E. Meseguer (검색결과 1 건)
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DrivingStyles: A Mobile Platform for Driving Styles and Fuel Consumption Characterization
Javier E. Meseguer,Chai Keong Toh,Carlos T. Calafate,Juan-Carlos Cano,Pietro Manzoni 한국통신학회 2017 Journal of communications and networks Vol.19 No.2
Intelligent transportation systems (ITS) rely on connectedvehicle applications to address real-world problems. Researchis currently being conducted to support safety, mobility andenvironmental applications. This paper presents the DrivingStylesarchitecture, which adopts data mining techniques and neural networksto analyze and generate a classification of driving styles andfuel consumption based on driver characterization. In particular,we have implemented an algorithm that is able to characterize thedegree of aggressiveness of each driver. We have also developed amethodology to calculate, in real-time, the consumption and environmentalimpact of spark ignition and diesel vehicles from a set ofvariables obtained from the vehicle’s electronic control unit (ECU). In this paper, we demonstrate the impact of the driving style onfuel consumption, as well as its correlation with the greenhouse gasemissions generated by each vehicle. Overall, our platform is ableto assist drivers in correcting their bad driving habits, while offeringhelpful tips to improve fuel economy and driving safety.
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