Adaptive Cruise Control Using Fuzzy Logic

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dc.cclicenceN/Aen
dc.contributor.authorLloyd, Nathan
dc.contributor.authorKhuman, A. S.
dc.date.acceptance2021-05-05
dc.date.accessioned2021-05-12T09:21:24Z
dc.date.available2021-05-12T09:21:24Z
dc.date.issued2021-05-05
dc.description.abstractModern 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.en
dc.funderNo external funderen
dc.identifier.citationLloyd N., Khuman A.S. (2021) Adaptive Cruise Control Using Fuzzy Logic. In: Carter J., Chiclana F., Khuman A.S., Chen T. (eds) Fuzzy Logic: Recent Applications and Developments. Springer, Cham, pp. 191-219en
dc.identifier.doihttps://doi.org/10.1007/978-3-030-66474-9_12
dc.identifier.isbn9783030664749
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20841
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherSpringer, Chamen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectFuzzy Inference Systemen
dc.subjectAutomatic Cruise Controlen
dc.subjectMamdanien
dc.subjectIntelligent Transportation Systemsen
dc.subjectMotor Vehiclesen
dc.titleAdaptive Cruise Control Using Fuzzy Logicen
dc.typeBook chapteren

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