A novel classification method for driving simulators based on existing flight simulator classification standards

Utkan Eryilmaz, Hatice Sancar Tokmak, Kürşat Çağıltay, Veysi İşler, Neslihan Özmen Eryılmaz

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

As technology has advanced and costs have fallen, the advantages of using simulators to train for safe, economical, and environmentally friendly driving have become more apparent. The need for a driving simulator classification arises from understanding and comparing simulator capabilities and options; however, only a limited number of studies have been conducted related to classification, calling for determination of methods and criteria. In this study, a classification method for driving simulators is proposed by adapting criteria for helicopter flight simulation training devices in which established methods of classification are defined by international and national regulators such as the Joint Aviation Authorities and Federal Aviation Administration. In the proposed method, the level of a simulator is determined by taking general characteristics under consideration, such as motion, visual, and sound systems. Through a case study, the method was applied to determine the class of a specific truck simulator.
Original languageEnglish
Pages (from-to)132-146
Number of pages15
JournalTransportation Research Part C: Emerging Technologies
Volume42
Publication statusPublished - 28 Mar 2014

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