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TLCSBFL : A Traffic Lights Control System Based on Fuzzy Logic

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJUNESST) 바로가기
  • 간행물
    International Journal of u- and e- Service, Science and Technology 바로가기
  • 통권
    Vol.7 No.3 (2014.06)바로가기
  • 페이지
    pp.27-34
  • 저자
    Mojtaba Salehi, Iman Sepahvand, Mohammad Yarahmadi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A231114

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원문정보

초록

영어
Vehicular traveling is increasing throughout the world, particularly in large urban areas. By the increasing use of automobiles in cities, traffic congestion occurs. Thus, there is a requirement for optimizing traffic control methods for better accommodating the increasing demand. Therefore, the transportation system will continue to grow, and intelligent traffic controls have to be employed to face the road traffic congestion’s problems. Fuzzy controllers have been widely used in many consumer products and industrial applications successfully over the past two decades. For traffic control, however, fuzzy controllers have not been widely applied. This research presents an application of fuzzy logic for multi-agent based autonomous traffic lights control system using wireless sensors to overcome problems like congestion, accidents, speed, and traffic irregularity. The real time parameters such as traffic density and queue length are obtained by using image-processing techniques. Thus, On and Off timings for the green, red and or amber lights are adjusted to the actual road conditions. Fuzzy logic has been widely used to develop a traffic signal controller because it allows qualitative modeling of complex systems. This paper describes a fuzzy logic signal controller for a four–way intersection suitable for mixed traffic, including a high proportion of motorcycles. The proposed agent-based approach can provide a preferred solution by minimizing the vehicles’ waiting time especially the emergency vehicles using fuzzy logic control under the situations that normally occur during emergencies. The effectiveness of this approach is tested by taking two traffic junctions.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Designed Model
 4. Design Algorithm
 5. Simulation
 6. Conclusion and Future Works
 Acknowledgements
 References

키워드

Traffic lights control system application of fuzzy logic autonomous systems congestion control

저자

  • Mojtaba Salehi [ Department of Computer Engineering, Islamic Azad University of Khorramabad, Khorramabad, Iran ]
  • Iman Sepahvand [ Department of Electrical Engineering, Islamic Azad University of Khorramabad, Khorramabad, Iran ]
  • Mohammad Yarahmadi [ Department of Mathematical Sciences, Islamic Azad University of Khorramabad, Khorramabad, Iran ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of u- and e- Service, Science and Technology
  • 간기
    격월간
  • pISSN
    2005-4246
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.7 No.3

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