Design of adaptive cruise control system based on fuzzy logic using genetic algorithm = 유전자알고리즘을 이용한 퍼지로직 기반 적응순항제어시스템 설계

Adaptive Cruise Control system provides significantly enhanced driver convenience and reduced workload as a driver assistance system. Feature of ACC system is adaptation to a target speed and speed reduction to keep a safe distance from preceding vehicle. But conventional ACC systems control only throttle and don’t manage speeds under 30km/h and are not useful in traffic jam or urban driving. So, the current focus of research into ACC systems is on augmenting the ACC systems with `Stop and Go` capabilities. Recently, new approaches applied intelligent control techniques, such as fuzzy logic control have been tried for ACC systems to solve problems of conventional ACC systems. But existing fuzzy logic based ACC systems are designed without considering driving comfort, throttle and brake input oscillations and fuel efficiency. In this paper, new fuzzy ACC controller with `Stop and Go` capabilities using Genetic Algorithm(GA) is proposed. Driving comfort, throttle and brake input oscillations and fuel efficiency as well as safe inter-vehicle distance are considered through defining proper fitness function. Experiments using Carsim(Vehicle simulation program of Mechanical Simulation Coporation) are carried out in the `Stop and Go` simulation scenario to evaluate proposed fuzzy ACC controller.
Advisors
Lee, Ju-Jangresearcher이주장researcher
Publisher
한국과학기술원
Issue Date
2008
Identifier
296276/325007 / 020063665
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 자동차기술대학원, 2008.2, [ viii, 55 p. ]

Keywords

지능형자동차; 적응순항제어시스템; 퍼지제어; 유전자알고리즘; Intelligent Vehicle; Adaptive Cruise Control System; Fuzzy Control; Genetic Algorithm; 지능형자동차; 적응순항제어시스템; 퍼지제어; 유전자알고리즘; Intelligent Vehicle; Adaptive Cruise Control System; Fuzzy Control; Genetic Algorithm

URI
http://hdl.handle.net/10203/44408
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=296276&flag=t
Appears in Collection
ME-Theses_Master(석사논문)
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