Strategically Placing Traffic Sensors on Traffic Networks by Incorporating Traffic Dynamics

Traffic sensors are essential for traffic state estimation and management. How to strategically locate traffic sensors on a traffic network has been a hot research topic for decades. The majority of the previous research merely focuses on static traffic network relationships. This research incorporates the traffic dynamics when considering the sensor location problem, which makes use of the valuable flow-time relation. The traffic network is modeled as a piecewise linear dynamical system and mathematical programming is used to optimize the sensor location.

• Record URL:
  https://ncst.ucdavis.edu/project/strategically-placing-traffic-sensors-traffic-networks-incorporating-traffic-dynamics

Language

• English

Project

• Status: Completed
• Funding: $46000
• Contract Numbers:

  DOT 69A3551747114

• Sponsor Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  1 Shields Ave
  Davis, California  United States  95616

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  1 Shields Ave
  Davis, California  United States  95616
• Project Managers:

  Iacobucci, Lauren

• Performing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  1 Shields Ave
  Davis, California  United States  95616
• Principal Investigators:

  Hu, Xinyue

  Fan, Yueyue

• Start Date: 20191001
• Expected Completion Date: 20230930
• Actual Completion Date: 20241001
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Location; Programming (Mathematics); Sensors; Traffic flow; Traffic forecasting; Traffic models
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01778582
• Record Type: Research project
• Source Agency: National Center for Sustainable Transportation
• Contract Numbers: DOT 69A3551747114
• Files: UTC, RIP
• Created Date: Aug 2 2021 6:22PM