Earticle

초록

영어

Through researching the traffic flow regularity of single intersection, this paper puts forward an intelligent traffic light (design) method based on BP neutral network principle and fuzzy control theory, in which the variable parameter is the dynamic change of traffic flow. The traffic light control system based on the neutral network fuzzy control technology breaks through the traditional mechanical timing pattern and general control mode. According to the real-time traffic flow, this technology can operate flexibly, and it has “Associative Memory” function when it realizes the fuzzy inference by neutral network .Thus it can meet the emergency of single transformation under any circumstance and then reach the optimum delay time of green light. The simulation result by MATLAB shows that the neutral network fuzzy control technology is superior to general fuzzy control method, which greatly improves the traffic utilization and brings the obvious economic benefit.

목차

Abstract
 1. Introduction
 2. Analysis of Intelligent Traffic Signal Control
 3. Model Design of Intelligent Traffic Light Control
  3.1. Analysis of Traffic Flow Phase and the Length of Queue
  3.2 Rules of Fuzzy Control of Delay Time of Traffic Light and Their Quantization
  3.3. Self-feedback of Algorithm of Traffic Light Control of BP Neutral Network
 4. Experimental Simulation
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Wu Lurong [ Computer and Information College, Fujian Agriculture and Forestry University, Fuzhou, China ]
• Jing Lin [ Computer and Information College, Fujian Agriculture and Forestry University, Fuzhou, China ]
• Wu Bizhi [ Computer and Information College, Fujian Agriculture and Forestry University, Fuzhou, China ]
• Wu Qidi [ Jinshan College, Fujian Agriculture and Forestry University, Fuzhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605