Adaptive Cruise Control Using Fuzzy Logic

Date

2021-05-05

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Springer, Cham

Type

Book chapter

Peer reviewed

Yes

Abstract

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.

Description

Keywords

Fuzzy Inference System, Automatic Cruise Control, Mamdani, Intelligent Transportation Systems, Motor Vehicles

Citation

Lloyd 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. 191-219

Rights

Research Institute

Institute of Artificial Intelligence (IAI)