Modern transportation undoubtedly provides a plethora of beneficial qualities; qualities that not only dramatically improve the efficiency and speed of travel, but also provide materialistic comforts for the inhabitants of the vehicle. Whilst these advancements have generally improved the quality of life for users, it begs the question: can modern technologies be utilized to augment vehicles further? This chapter will engage intelligent transportation systems (ITS), specifically automatic cruise control (ACC) and the utilization of fuzzy inference systems (FIS), analyzing their successful implementation, posing a bespoke system and how the ITS field can be improved further.


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    Titel :

    Adaptive Cruise Control Using Fuzzy Logic


    Beteiligte:
    Carter, Jenny (Herausgeber:in) / Chiclana, Francisco (Herausgeber:in) / Khuman, Arjab Singh (Herausgeber:in) / Chen, Tianhua (Herausgeber:in) / Lloyd, Nathan (Autor:in) / Khuman, Arjab Singh (Autor:in)

    Erschienen in:

    Fuzzy Logic ; Kapitel : 12 ; 191-219


    Erscheinungsdatum :

    05.05.2021


    Format / Umfang :

    29 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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