STUDY ON THE SHORTEST PATH ALGORITHM BASED ON FLUID NEURAL NETWORK OF IN-VEHICLE TRAFFIC-FLOW GUIDANCE SYSTEM
This paper describes a new shortest path algorithm for route guidance that is based on a parallel Fluid Neural Network (FNN) and a genetic algorithm. Simulation results reveal that this method can be used to quickly find the shortest route from the origin node to the destination node in traffic networks.
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Supplemental Notes:
- Publication Date: 1999. IEEE Service Center, Piscataway NJ
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Corporate Authors:
Mitsubishi Denki Kabushiki Kaisha
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Authors:
- Wen, Huimin
- Yang, Zhaosheng
- Conference:
- Publication Date: 1999
Language
- English
Media Info
- Pagination: p. 110-113
Subject/Index Terms
- TRT Terms: Computer algorithms; Neural networks; Route guidance
- Subject Areas: Data and Information Technology;
Filing Info
- Accession Number: 00963584
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH
- Created Date: Oct 2 2003 12:00AM