INVESTIGATION OF STRUCTURAL DESIGN CRITERIA FOR AUTOMATED TRANSIT AERIAL GUIDEWAYS

Recent experiences at existing Automated Guideway Transit (AGT) installations show that the guideway structure is the single most expensive component of an AGT system. The deployment of AGT technology in urban locations may also exacerbate the cost contribution of the guideway structure. Despite this high cost of guideways, very little research has been directed towards the design and construction of high-efficiency guideway structures. Designers have relied mostly on existing structural design codes; the most frequently used being the American Association of State Highway and Transportation Officials (AASHTO) Standard Specifications for Highway Bridges. Sometimes AASHTO codes have been revised to reflect any special load characteristics of the particular AGT vehicle. In general, the degree of modification varies from one system to the other. Hence, there is presently no widely accepted set of criteria for the desing of AGT guideway structures. The problem is that because of the higher predictability of AGT loads, an unreasonable application of existing codes may lead to overly conservative guideway structures and consequently increased system cost. This report reviews existing design criteria, assesses their appropriateness for AGT aerial guideway design, and explores the feasibility of an industry-wide set of design criteria that will reduce the cost of AGT aerial guideway structures.

  • Corporate Authors:

    Lea (N. D.) and Associates, Incorporated

    Washington, DC  United States 

    Urban Mass Transportation Administration

    400 7th Street, SW
    Washington, DC  United States  20590
  • Authors:
    • MUOTOH, D U
  • Publication Date: 1984-4

Media Info

  • Pagination: 55 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00389757
  • Record Type: Publication
  • Report/Paper Numbers: UMTA-IT-06-0311-84-1Tech Rpt.
  • Contract Numbers: DTUM 60-83-P-30376
  • Files: TRIS, USDOT
  • Created Date: Oct 30 1984 12:00AM