Validation, Calibration, and Evaluation of ITS Technologies on the Borman Corridor

Details

• Creators:
  Peeta, Srinivas ; Pasupathy, Raghubushan ; Zhang, Pengcheng
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Internet
  • Traffic control
  • Real time control
  • Real time data processing
  • Fault tolerance
  • Data analysis
  • Cluster analysis
  • Mathematical prediction
  • Calibration
  • Information dissemination
  More +
• Publication/ Report Number:
  FHWA/IN/JTRP-2001/7
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Indiana
• Edition:
  Final Report
• Corporate Publisher:
  Indiana Department of Transportation
• Abstract:
  This study develops an Internet-based remote on-line traffic control architecture for route guidance in large-scale traffic systems equipped with advanced information systems and sensors. It also proposes to use the Beowulf Cluster paradigm as an economical, flexible, and customizable computing architecture to generate supercomputing capabilities within the control architecture. The Beowulf Cluster provides the enabling environment to execute and coordinate the activities of the various modules that address real-time network route guidance, data transmission, calibration and fault tolerance. In the context of large-scale traffic systems, a Beowulf Cluster can be configured in centralized as well as decentralized on-line control architectures with equal ease. Thereby, it enables individual traffic operators with smaller operational scope (such as local traffic agencies) to install mini Beowulf Clusters at their locations or allows several of them to operate remotely using a centrally located large-scale Cluster. To enable automation and the seamless operation of the on-line architecture, a Fourier transform-based fault tolerant framework is introduced that can detect data faults due to malfunctioning detectors and predict the likely actual data on-line.
• Format:
  PDF
• Funding:
  SPR-2399
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/91150/dot_91150_DS1.pdf
• File Type:
  [PDF - 533.24 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:ce6f70fd55075cbfb8f18f101f5adaa400ae4930d25340ec5ddc60bf161a4cac1eefa6ea7238eff4de4bec7a26638b09769f885b92a137e75c8066ac34ec859b