Vehicle Operating Speed on Urban Arterial Roadways [Supporting Dataset]

Details

• Creators:
  Fitzpatrick, Kay
• Corporate Creators:
  Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Texas A&M Transportation Institute
• Corporate Contributors:
  United States. Department of Transportation. Office of the Secretary ; Texas (State)
• Subject/TRT Terms:
  Arterial Highways Arterials Bicycles Bicyclists Crowdsourced Data Crowdsourcing Cyclists Highway Design Operating Speed Speed Data Suburbs Traffic Volume Urban Highways Vehicle Operating Speed

  More +
• Publication/ Report Number:
  TTI-01-04
• DOI:
  https://doi.org/10.15787/VTT1/WXR1I0
• Resource Type:
  Dataset
• Geographical Coverage:
  United States
• Edition:
  Final Research Report
• Corporate Publisher:
  Texas A&M Transportation Institute
• Abstract:
  This research explored (1) the relationship between suburban vehicle operating speed and roadway characteristics, especially the presence of bicyclists and (2) whether crowdsourced speed data could be used to estimate the unconstrained speed for a location. Both vehicle volume per lane and bicycle volume were found to be influential in affecting average speed on lower speed urban arterial roadways. For 40.3 km/hr (25 mph) sites, an increase of 19 vehicles per 15-min period would decrease average speed by 1.6 km/hr (1 mph), and an increase of more than 39 bicyclists per 15-min period would decrease average vehicle speed by a similar amount. Because of the limited number of 15-min periods with bicycle counts greater than 1, the research team also developed a model using all available 15-min periods with on-road speed data. Speed and volume data in 15-min increments for 2 weeks at nine sites were obtained using on-road tubes and via a vendor of crowdsourced speed data. The difference between the tube data and the crowdsourced data was calculated and called TMCS as a representation of tube (T) minus (M) crowdsourced (CS).The geometric variables that had the greatest influence on TMCS were the number of signals and the number of driveways within a corridor. When only including non-congested periods, weekends (Saturday or Sunday) were associated with the smallest TMCS.
  
  The total size of the described file is 8.4 MB. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs. Docx files are document files created in Microsoft Word. These files can be opened using Microsoft Word or with an open source text viewer such as Apache OpenOffice.
  
  
• Content Notes:
  National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-07-27. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time. The dataset is currently seperated into two parts. For part one, please visit https://doi.org/10.15787/VTT1/WXR1I0. For part two, please visit https://doi.org/10.15787/VTT1/KCNRS7.
• Format:
  ZIP
• Funding:
  69A3551747115/Project TTI-01-04
• Collection(s):
  University Transportation Centers
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/70489/dot_70489_DS1.bin
• File Type:
  [BIN ]