This report points out that the use of Automated Guideway Rapid Transit (AGRT) has been proposed as a means of alleviating many of the problems associated with conventional transportation modes in urban areas. The concept of AGRT requires the deployment of remotely controlled vehicles in a dedicated guideway network. Many control strategies have been proposed to handle the simultaneous longitudinal control of possibly hundreds of these vehicles. One generic approach is vehicle-follower, in which vehicle state information is used to command vehicle spacing and velocity of the immediately following vehicle. This report states that vehicle-follower control has been extensively examined at the individual vehicle interaction level; however, the network effects of vehicle-follower are relatively unassessed. The principal objective of this study is to examine the network level behavior of a vehicle-follower approach to longitudinal control in AGRT systems. A computer simulation was developed for the evaluation of station operations, vehicle management techniques, and vehicle-follower longitudinal control algorithms in a full AGRT network context. The simulation was then exercised to investigate the performance characteristics of and interactions among vehicle control, network management, and station models.

  • Corporate Authors:

    Johns Hopkins University, Laurel

    Applied Physics Laboratory, 11100 Johns Hopkins Road
    Laurel, MD  United States  20723-6099
  • Authors:
    • Chiu, H Y
    • Kershner, D L
    • McEvaddy, P J
  • Publication Date: 1984-10

Media Info

  • Pagination: 154 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00399572
  • Record Type: Publication
  • Report/Paper Numbers: JHUAPLCP-086/TPR/047, UMTA-MD-06-0047-84-1
  • Files: TRIS
  • Created Date: Nov 30 1985 12:00AM