Roadway system assessment using bluetooth-based automatic vehicle identification travel time data.

Details

• Creators:
  Day, Christopher M. ; Brennan, Thomas M. ; Hainen, Alexander M. ; Remias, Stephen M. ; Bullock, Darcy M.
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Subject/TRT Terms:
  • Automatic vehicle identification
  • Bluetooth technology
  • Travel time
  • Data collection
  • Quality of service
  • Performance measurement
  • Traffic flow
  • Interrupted flow
  • Sensors Traffic flow--Measurement
  • Travel time (Traffic engineering)
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Purdue University
• Abstract:
  This monograph is an exposition of several practice-ready methodologies for automatic vehicle identification (AVI) data collection ; systems. This includes considerations in the physical setup of the collection system as well as the interpretation of the data. An extended ; discussion is provided, with examples, demonstrating data techniques for converting the raw data into more concise metrics and views. ; Examples of statistical before-after tests are also provided. A series of case studies were presented that focus on various real-world ; applications, including the impact of winter weather on freeway operations, the economic benefit of traffic signal retiming, and the ; estimation of origin-destination matrices from travel time data. The technology used in this report is Bluetooth MAC address matching, ; but the concepts are extendible to other AVI data sources.
• Format:
  PDF
• Funding:
  DTRT57-11-C-10009
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25412/dot_25412_DS1.pdf
• File Type:
  [PDF - 19.99 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1e28b8a1434108e6fc200d09bf085a6f6f28a96f1bad4f24ca16c17169585a79c6a1a951b6e0f6a5c9aada7cc8ce32aa34e489b1e64a26d1af26487f72df5473