Evaluating Regional Traffic Signal Performance Measures Using Crowd-Sourced Data in 2021 Urban Mobility Report [Policy Brief]

Details

• Creators:
  Jha, Kartikeya ; Albert, Luke P. ; Albert, Debbie ; Schrank, David
• Corporate Creators:
  Texas A&M Transportation Institute
• Corporate Contributors:
  University of South Florida. National Institute for Congestion Reduction ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Arterial Highways Automatic Data Collection Systems Data Analysis Datasets Mobility Performance Probe Vehicles Traffic Congestion Traffic Signal Control Systems Traffic Signals Urban Areas

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• DOI:
  https://doi.org/10.5038/CUTR-NICR-Y2-1.7
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of South Florida. National Institute for Congestion Reduction
• Abstract:
  The Urban Mobility Report (UMR) has been providing information on urban congestion levels in the U.S. for more than three decades. The UMR uses private-sector crowdsourced travel speed data from INRIX® combined with traditional public-agency roadway inventory data to measure mobility conditions. The current UMR statistics describe overall congestion levels, but do not categorize causes of congestion. With the advent of improvements in the third-party provider data streams, it is now possible to quantify at least some aspects of the mobility contribution provided by enhanced traffic signal systems. This evaluation used detailed crowdsourced intersection traffic data collected by INRIX® to report on the performance of traffic signal systems. One week of October 2020 data for approximately 210,000 traffic signals in the United States was used for this study. INRIX has continued to exponentially expand their probe vehicle coverage and data quality. The use of this data allows agencies to leverage existing probe data for the measurement of traffic signal performance and improve traffic signal operations. This dataset is useful for evaluation of signal operations using traditional metrics such as average delay and level of service, in addition to newer metrics such as arrivals on green and traffic signal efficiency index.
• Format:
  PDF
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:ebe490dc489ecc27f740a5dffa32b32e295a9656c41b9bff9c37c30c4a6600064f4c6025ac06ef339bdef09c9c66f2d5300a2ce9d40c64176d2281381320d7a1
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89324/dot_89324_DS1.pdf
• File Type:
  [PDF - 594.42 KB ]