Intelligent Adaptive Control for Dynamic Traffic Routing

Details

• Creators:
  Sadek, Adel W
• Corporate Creators:
  New England University Transportation Center ; University of Vermont
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Adaptive Control Autonomous Vehicles Neural Networks Routing Travel Time
• Publication/ Report Number:
  UVMR15-7
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  The main objective of the study was to explore the applicability of using principles from the field of Intelligent Adaptive Control for the on-line management and control of transportation systems. Intelligent adaptive control is an emerging multi-disciplinary field that encompasses the computational procedures of Fuzzy Logic, Artificial Neural Networks, and Genetic Algorithms. The goal of intelligent control is to design robust and learning controllers operating in an uncertain environment with very limited mathematical knowledge of the controlled process principles, which makes it quite applicable to the control of transportation systems.
• Format:
  PDF
• Collection(s):
  University Transportation Centers Autonomous Vehicles
• Main Document Checksum:
  urn:sha-512:bcdd06021c8e60e02cd70a7a4ff853431664be2c22af90261cfabd06d497a11a43d29b30e1f3de9e64fe01d17098be21d1f5b76f3aedd9fdac2e723069add03e
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/65871/dot_65871_DS1.pdf
• File Type:
  [PDF - 59.18 KB ]