BSM (+BMM) Data Emulator Dynamic Interrogative Data Capture (DIDC) Assessment Report: Proof of Concept

Details

• Creators:
  Deurbrouck, Taylor ; O'Hara, James ; Wunderlich, Karl E.
• Corporate Creators:
  Noblis, Inc.
• Corporate Contributors:
  United States. Dept. of Transportation. ITS Joint Program Office
• Subject/TRT Terms:
  • Intelligent transportation systems
  • Computer algorithms
  • Weather conditions
  • Travel time
  • Traffic queuing
  • Simulation
  • Basic safety message
  • Probe data message
  • TCA
  • Dynamic interrogative data capture
  More +
• Publication/ Report Number:
  FHWA-JPO-17-515
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (Version 1)
• Contracting Officer:
  McCarthy, Jim
• Corporate Publisher:
  United States. Dept. of Transportation. ITS Joint Program Office
• Abstract:
  The report documents the study conducted as part of the BSM+BMM Data Emulator project, to examine the DIDC concept and determine the best set of DIDC parameters that provide the most support to the performance measure estimation process with the least amount of data load on communications. The four key transportation performance measures studied include: - Travel Time - Queues - Turning Movements - Slippery Conditions. This study used a genetic algorithm process to evaluate a set of possible DIDC alternatives which were then evolved into better solutions through repetitive application of mutation and recombination. The study made use of Trajectory Conversion Algorithm-DIDC (TCA-DIDC) Version 2.4, the DIDC offline version of the software tool developed in the BSM Emulator project. The TCA-DIDC Version 2.4 generated connected vehicle messages from simulated trajectories for a single hypothetical network called Philosopher’s Corner which were analyzed using measures estimation algorithm code developed in Task 4: Performance Measures.
• Format:
  PDF
• Funding:
  DTFH61-11-D-00018
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34751/dot_34751_DS1.pdf
• File Type:
  [PDF - 1.19 MB]
• Collection(s):
  ITSJPO Digital Library
• Main Document Checksum:
  urn:sha256:7afa2e1e55b571954ded64906f6592d848e8bdd580913e8a01a61d7c1cb8078f