DAILY TRAVELLING VIEWED BY SELF-ORGANIZING MAPS. IN: NEURAL NETWORKS IN TRANSPORT APPLICATIONS

The traditional way to model person traveling is to use four step models. These models generate trips in a study area, distribute these trips between origin and destination zones, divide them between modes, and assign them on different routes. This paper discusses nationwide travel surveys conducted in Finland in order to collect contemporary information about the daily mobility of Finnish people: number of trips, modal split, trip purpose distribution, travel patterns and vehicle utilization.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/184014808X
• Corporate Authors:

  Ashgate Publishing Company

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• Authors:
  • HIMANEN, V
  • JARVI-NYKANEN, T
  • RAITIO, J
• Publication Date: 1998

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 85-110
• Serial:
  • Atmospheric Environment
  • Publisher: Elsevier
  • ISSN: 1352-2310
  • Serial URL: http://www.sciencedirect.com/science/journal/13522310

Subject/Index Terms

• TRT Terms: Daily; Distance; Mapping; Mode choice; Neural networks; Origin and destination; Route choice; Speed; Trip length; Trip purpose
• Geographic Terms: Finland
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 00796280
• Record Type: Publication
• ISBN: 184014808X
• Files: TRIS
• Created Date: Jul 25 2000 12:00AM