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

The objective of the Dynamic Interrogative Data Capture (DIDC)algorithms and software is to optimize the capture and transmission of vehicle-based data under a range of dynamically configurable messaging strategies. The key hypothesis of DIDC is that using a well-constructed DIDC approach will have a lower risk of privacy issues and higher effective measures estimation along with a reduced data transmission load than comparable non-DIDC alternatives. The DIDC method will go through two rounds of testing using a simulation network: the first round of experimentation will study DIDC concepts and the second round will compare DIDC to other message types. The purpose of this report is to describe the testing method and results from comparing the DIDC messaging concept with current message types. This is the second phase of DIDC testing conducted in the BSM Data Emulator project. The first phase of DIDC testing, the proof of concept, was completed in January 2016 and is described in a separate test plan and final report. This second phase of testing compared the measures estimation capabilities, data communication load, and re-identification efforts of the DIDC concept to Basic Safety Message (BSM), Probe Data Message (PDM), and the European Union Cooperative Awareness Message (CAM).

• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/34752
• Corporate Authors:

  Nobis

  Washington, DC  United States  20024

  ITS Joint Program Office

  Office of the Assistant Secretary for Research and Technology, USDOT
  1200 New Jersey Avenue, S.E
  Washington, DC  United States  20590

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Deurbrouck, Taylor
  • O’Hara, James
  • Wunderlich, Karl
• Publication Date: 2016-4-1

Language

• English

Media Info

• Media Type: Web
• Edition: Final Report, Version 1
• Features: Appendices; Figures; References; Tables;
• Pagination: 44p

Subject/Index Terms

• TRT Terms: Connected vehicles; Data collection; Evaluation; Intelligent transportation systems programs; Messages (Communications); Mobile communication systems; Simulation; Wireless communication systems
• Identifier Terms: Dynamic Interrogative Data Capture
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01663713
• Record Type: Publication
• Report/Paper Numbers: FHWA-JPO-17-516
• Contract Numbers: DTFH61-11-D-00018
• Files: NTL, TRIS, ATRI, USDOT
• Created Date: Mar 22 2018 11:59AM