APPLICATIONS OF ANNS IN TRANSPORTATION ENGINEERING : DEVELOPMENT OF A NEURAL TRAFFIC SIGNAL CONTROL SYSTEM

In this dissertation, the author examines artificial neural network applications in transportation, including the justifications advantages and limitations of their applications. Focus is on a neural network paradigm for roadway traffic signal control at isolated intersections. The system stresses adaptive, human-like thinking and self-organizing performance.

• Supplemental Notes:
  • Publication Date: 1995 UMI Company, Ann Arbor MI Remarks: Thesis (Ph. D.)--University of Delaware
• Corporate Authors:

  University of Delaware, Newark

  Newark, DE  United States  19716
• Authors:
  • Hua, Jiuyi
• Publication Date: 1995

Language

• English

Media Info

• Pagination: 237 p.

Subject/Index Terms

• TRT Terms: Neural networks; Traffic control; Traffic signals
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00783371
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: AAT 9610464 (UMI order no.)
• Files: PATH
• Created Date: Feb 16 2000 12:00AM