Investigating Impact of Crowdsourcing on Smart Freight Mobility

Details

• Creators:
  Chandra, Shailesh ; Jimenez, Jose ; Nguyen, Annie
• Corporate Creators:
  METRANS Transportation Center (Calif.) ; California State University, Long Beach. Department of Civil Engineering and Construction Engineering Management
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Crowdsourcing
  • Data collection
  • Freight traffic
  • Traffic congestion
  • Traffic flow
  • Traffic models
  • Traffic simulation
• Resource Type:
  Tech Report
• Geographical Coverage:
  California ; United States
• Edition:
  Final Report
• Corporate Publisher:
  METRANS Transportation Center (Calif.)
• Abstract:
  This research demonstrates an important application of emerging technologies (such as crowdsourcing) into freight transportation and logistics. Efficient crowdsourcing-based strategies could be developed that can be improve communication among trucks, avoid congestion points along routes and minimize congestion. This research also demonstrates the level of efficiency that can be achieved in reducing congestion, assist in routing and further. Therefore, this proposed research is a step towards filling this gap in applications of crowdsourcing technology to the development of a smart freight system. The model presented in this paper aims to show some insights on leveraging crowdsourced information on downstream traffic conditions to improve a freight system’s performance.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/66851/dot_66851_DS1.pdf
• File Type:
  [PDF - 1.08 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha256:9e9f9860d339b98eb1be170d84df3b1e565b7971b030b17ff1ead9bf19cc4fa7