Deliver a set of tools for resolving bad inductive loops and correcting bad data

Details

• Alternative Title:
  Deliver a set of tools to resolving bad inductive loops and correcting bad data
• Creators:
  Lu, Xiao-Yun ; Kim, ZuWhan ; Cao, Meng ; Guo, Zhaomiao ; Sprig, John
• Corporate Creators:
  University of California, Berkeley
• Corporate Contributors:
  California. Dept. of Transportation. Division of Research and Innovation
• Subject/TRT Terms:
  • Loop detectors
  • Vehicle detectors
  • Data quality
• Publication/ Report Number:
  CA12-1116
• Resource Type:
  Tech Report
• Geographical Coverage:
  California
• Corporate Publisher:
  California. Dept. of Transportation. Division of Research and Innovation
• Abstract:
  This project prototyped and demonstrated procedures to find and mitigate loop detector errors, and to derive more valuable data from loops. Specifically, methods were developed to find and isolate out loop data which is "bad" or invalid, so that mitigation means, or "fixes" can be implemented. Methods of extracting very accurate speed (+/- 3mph) and vehicle length data (+/- 1meter) from single loop stations were demonstrated to be much more accurate than current Caltrans practice. The validity of these methods were statistically proven using hundreds of thousands of vehicles. Additionally, more accurate and reliable methods of detecting the onset of both recurring or "incident" based congestion were demonstrated. These methods require access to the unprocessed loop detector card data. This unprocessed data can be acquired from the Log170 program, third party loop readers like the Infotek Wizard, or DRI's ubiquitous "C1 reader". DRI intends to implement many of these methodologies in the C1 reader client software, Videosync.
• Format:
  PDF
• Funding:
  65A0335, TO 6327
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25932/dot_25932_DS1.pdf
• File Type:
  [PDF - 10.63 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:68d2108ab413128cc4da1df1adc1603ed65aaec415cf01b18a332c5b5f8fc22f8513bb0d0c455b53f3e8bd73e5bb298be99fd406da7ac68626b00958883e52ad