Techniques for mining truck data to improve freight operations and planning.

Details

• Creators:
  Bertini, Robert L. ; Horowitz, Zachary ; Tufte, Kristin ; Matthews, Spicer
• Corporate Creators:
  Portland State University. Department of Civil & Environmental Engineering
• Corporate Contributors:
  Transportation Northwest Regional Center X (TransNow) (UTC) ; Oregon. Department of Transportation
• Subject/TRT Terms:
  • Transportation operations
  • Freight service
  • Intermodal services
  • Trucking
• Publication/ Report Number:
  TNW2006-05
• Resource Type:
  Research Paper
• Geographical Coverage:
  United States
• Corporate Publisher:
  Oregon. Dept. of Transportation
• Abstract:
  Freight plays an increasingly valuable role in the national economy, and a growing percentage of ; freight – measured by both total volume and market value - is being moved along the highway ; system by truck. An important part of the research process to fully understand the impacts of ; these increased truck volumes on the entire transportation network is by collecting and analyzing ; freight data. With the adoption of just-in-time supply chain management solutions, and ; increasing congestion on urban, rural and intercity motorways, better knowledge of freight ; movements can serve to improve highway operations. The real-time data generated by the ; development of travel time algorithms can be provided to commercial vehicle operators to enable ; them to minimize the delay associated with goods movement, and assist in streamlining the ; logistics planning process. Increased knowledge of truck travel patterns has the potential to ; increase overall highway safety, lead to better-managed maintenance operations, provide cost ; savings to public agencies, validate investments in intelligent transportation systems (ITS), and ; improve long-range planning and forecasting. Like other aspects of traffic engineering, efforts ; that result in higher quality data and improved collection methodologies generally lead to ; increased knowledge of the transportation system. This paper explores techniques that use ; current ITS technologies such as the Autoscope video processing system and loop detector data ; algorithms to collect and verify short and long vehicle count and length data. Three sets of traffic ; data for each time interval are created, and then compared using statistical analyses to produce ; results that that reveal new information about the freight transportation system in the Portland ; metropolitan region.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/5538/dot_5538_DS1.pdf
• File Type:
  [PDF - 2.37 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:48a5e769446c395be0d8a6635a28a57e82b5b49d74c220830e4ff2d2c6480abbdf729bb70a8e5272e66e4a425f05c656e15c0946482a67e3b5f82c4c0c1f1059