DRIVER-PREFERENCE OPTIMAL ROUTE SEARCH BASED ON GENETIC-FUZZY APPROACHES

The major goal of this research is to develop an optimal route search algorithm for an intelligent route guidance system. Genetic algorithm and fuzzy logic are utilized in order to implement the proposed algorithm. Using genetic algorithm, the proposed algorithm searches shortest routes in terms of travel time in consideration of stochastic traffic volume, diverse turn constraints, etc. Then using fuzzy logic it selects driver-preference optimal route among the candidate routes searched by GA, taking into account various driver's preferences such as difficulty degree of driving and surrounding scenery of road. In order to evaluate this algorithm, a virtual road-traffic network with various road attributes is simulated, where the suggested algorithm promptly produces the best route for a driver with reference to his or her preferences. For the covering abstract see IRRD E102946.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/899500732X
• Corporate Authors:

  ORGANIZING COMMITTEE 5TH WORLD CONGRESS

  KUSANG BLDG, 4TH FLOOR, 1009-5, DAECHI-DONG KANGNAM-KU
  SEOUL, ZZ KOREA    135-283
• Authors:
  • CHOI, G-S PARK
• Conference:
  • TOWARDS THE NEW HORIZON TOGETHER. PROCEEDINGS OF THE 5TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS, HELD 12-16 OCTOBER 1998, SEOUL, KOREA. PAPER NO. 4111
• Publication Date: 1998

Language

• English

Subject/Index Terms

• TRT Terms: Mathematical models; Networks; Optimization; Roads; Route guidance
• Uncontrolled Terms: Optimum; Road networks
• ITRD Terms: 6473: Mathematical model; 8771: Route guidance
• Subject Areas: Highways;

Filing Info

• Accession Number: 00780895
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 89-950073-2-X
• Files: ITRD
• Created Date: Jan 7 2000 12:00AM