A DISTRIBUTED COMPUTING MODEL FOR INTEGRATING ADVANCED TRAFFIC SIGNAL PERIPHERAL DEVICES

Advanced Traffic Management Systems (ATMS) rely heavily on traffic signal controllers for collecting data and implementing signal timing plans. These traffic signal devices provide the fundamental link between Intelligent Transport Systems (ITS) and actual field transducers. In an effort to add more features to traffic signal systems, the traffic signal cabinet has become very complex. One way to simplify the cabinet is to adopt a distributed control architecture where the controller uses two or four conductors to interface with a network of intelligent peripheral devices. The results of a Transportation Research Board Intelligent Vehicle-Highway Systems (TRB IVHS)-IDEA project evaluating the application of a distributed computing technology for traffic control devices called LonWorks is discussed. The technology is based upon distributed processors called Neurons. Findings indicate that the LonWorks 10kbps power line interface is extremely robust and attractive for interfacing devices with low data rate requirements, such as message signs, remote ramp meter controllers, and fiber optic signs. The 1.25 Mbps interface is well suited for use as an in-cabinet bus for interfacing devices with higher data requirements, such as loop detectors and load switches. Also, the in-cabinet data communication bus enables enhanced features, such as current monitoring, to detect lamp failure and vehicle classification based upon inductive loop signatures. Additional ITS devices can easily be incorporated using the open architecture communication protocol.

  • Supplemental Notes:
    • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
  • Corporate Authors:

    VERTIS

    TORANOMOM 34 MORI BUILDING 1-25-5
    TORANOMON, MINATOKU, TOKYO 105  Japan 
  • Authors:
    • Bullock, D
  • Conference:
  • Publication Date: 1995-11

Language

  • English

Media Info

  • Pagination: p. 253

Subject/Index Terms

Filing Info

  • Accession Number: 00721083
  • Record Type: Publication
  • Report/Paper Numbers: Volume 1
  • Files: TRIS
  • Created Date: May 20 1996 12:00AM