Smart Driving in Smart City

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dc.authoridKaraduman, Mucahit/0000-0002-8087-4044
dc.authorwosidEren, Haluk/V-9711-2018
dc.authorwosidKaraduman, Mucahit/R-6853-2017
dc.authorwosidEREN, HALUK/B-6449-2014
dc.contributor.authorKaraduman, Mucahit
dc.contributor.authorEren, Haluk
dc.date.accessioned2024-08-04T20:43:15Z
dc.date.available2024-08-04T20:43:15Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG) -- APR 19-21, 2017 -- Istanbul, TURKEYen_US
dc.description.abstractSmart cities have been drawing attention of researchers as seen in recent intensive studies. In associated with this fact, this situation is expected to continue in future works. In other side, smart vehicles are an indispensable part of smart cities. Scientists have been researching vehicles and transportation in order to reach safe and comfortable mobility. Among these vehicles, cars are the first ones that affect human life. In this study, smart cars and their drivers are elaborated in behavioral aspect. Existing works have been discussed to figure out futuristic driving behavior in smart city environment. In order to understand human thought system, additional studies have been given and recommendations have been provided. As seen in the researches conducted in recent years, researchers have been tried to interpret behavior of drivers by examining data taken by smart phones and vehicle OBD output. Evaluations are conducted by result of the specified methods. In recent decade, it has been observed that these behaviors are not only estimations; but also systems mounted on vehicles learn overall driving behavior. Hence, developed systems should work online while drivers on steering wheel. Consequently, this study will enlighten existing trends for different types of learning schemes. Future studies are expected to combine car, driver's biologic, psychological, and environmental data. Thus, in the near future, systems that understand the human thought will be developed.en_US
dc.description.sponsorshipRepubl Turkey, Minist Energy & Nat Resources,Republ Turkey, Minist Environm & Urbanisat,Republ Turkey, Minist Sci Ind & Technol,IEEE Power & Energy Socen_US
dc.identifier.endpage119en_US
dc.identifier.isbn978-1-5090-5938-6
dc.identifier.scopus2-s2.0-85023167555en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage115en_US
dc.identifier.urihttps://hdl.handle.net/11616/97887
dc.identifier.wosWOS:000411752300022en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 5th International Istanbul Smart Grid and Cities Congress and Fair (Icsg)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSmart drivingen_US
dc.subjectincremental learningen_US
dc.subjectdriver behavioren_US
dc.subjectonline learningen_US
dc.subjectsmartphone sensorsen_US
dc.titleSmart Driving in Smart Cityen_US
dc.typeConference Objecten_US

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