Using municipal vehicles as sensor platforms to monitor the health and performance of the traffic control system

This research seeks to develop a viable, on-going monitoring program that utilizes municipal vehicles as sensor platforms and uses these sensors to monitor the roadway traffic conditions and performance of signalized intersections in a metropolitan area. The results are aimed to prioritize the roadways and signals in greatest need of improvements and retiming. The envisioned system would piggyback sensors on municipal vehicles that are already traveling the network in the course of their normal duties. This opportunistic data collection approach will collect "snapshots" of roadway segments and signalized intersection approaches separately from other sensors that may be available whenever one of these host vehicles happens to pass through. Municipal vehicles e.g., city buses, police cars, city maintenance vehicles eventually cover the entire road network in their normal duties, thereby eliminating most of the dedicated labor to collect the traffic data. The ultimate goal is to make better-informed resource allocation to determine when and where to deploy conventional traffic studies and advanced signal controls i.e., to develop a new complementary tool to improve the effectiveness and efficiency of the existing tools. Year 1 is intended to develop, demonstrate and validate the methodology using an instrumented probe vehicle and 3-6 hours of data per week collected over a period of months. The research team will demonstrate the ability to assess the roadway traffic conditions and corresponding performance of individual traffic signals using data from an instrumented probe vehicle. For independent ground truth, the team will aim to coordinate with local operating agencies to ensure that the team's data collection overlaps with their conventional traffic-studies by including corridors slated for conventional timing studies in the tours. In year 2 the team will validate the quality of the proposed roadway traffic condition and intersection control assessment approach. The collected data will be archived, analyzed, and used to improve the monitoring algorithms. The team will also develop a plan to deploy the system on a municipal vehicle. The deployment plan will most likely start with considering OSUs Campus Bus Service (CABS), which operates a fleet of almost forty 40-foot buses on several routes that travel both on and off campus serving area of varied land-uses.

Language

  • English

Project

  • Status: Active
  • Funding: $127779
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility 21 National UTDOT for Mobility of Goods and People
    ,    

    Office of the Assistant Secretary for Research and Technology

    University Transportation Program
    ,    
  • Managing Organizations:

    Carnegie Mellon Univeristy

    Mobility 21 National UTDOT for Mobility of Goods and People
    ,    
  • Project Managers:

    Schweyer, Lisa Kay

  • Performing Organizations:

    Ohio State University, Columbus

    410 West Tenth Avenue
    Columbus, OH  United States  43210
  • Principal Investigators:

    Ozguner, Umit

  • Start Date: 20170701
  • Expected Completion Date: 20190131
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01677503
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: Aug 7 2018 12:04PM