An Intelligent Traffic Controller

Details

• Creators:
  Kagolanu, Kishore ; Fink, Raymond ; Smartt, Herschel ; Powell, Robert ; Larsen, Eric
• Corporate Contributors:
  Lockheed Idaho Technologies Company ; Idaho National Engineering and Environmental Laboratory
• Subject/TRT Terms:
  • Traffic signal controllers
  • Intersections
  • Fuzzy algorithms
  • Fuzzy logic
  • Neural networks
  • Fuzzy logic control
  • Intelligent controller
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Idaho National Engineering and Environmental Laboratory (INEEL)
• Abstract:
  Advances in computing sciences have not been applied to traffic control. This paper describes the development of an intelligent controller. A controller with advanced control logic can significantly improve traffic flows at intersections. In this vein, the paper explores fuzzy rules and algorithms to improve the intersection operation by rationalizing phase changes and green times. The fuzzy logic for control is enhanced by the exploration of neural networks for families of membership functions and for ideal cost functions. The concepts of fuzzy logic control are carried forth into the controller architecture. Finally, the architecture and modules are discussed. In essence, the control logic and architecture of an intelligent controller are explored. Figures, references.
• Format:
  PDF
• Funding:
  DE-AC07-94ID13223
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/13817/dot_13817_DS1.pdf
• File Type:
  [PDF - 488.15 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c7f0cba8cb9479b8f3c06388d83272241fb29c6e05318f71428c7eef0b16613c5db9a5768ad53e5fdb35fe97b5497bc55b045f7db4fe795c3ff62c9e4ae59df8