Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data

The objective of this research is to evaluate work zone mobility by utilizing naturalistic driving study (NDS) data. NDS includes times series data, forward view, and rearview video data for many trips traversing through the various work zones. Time series data includes variables such as speed, acceleration, and pedal position at 0.1 second intervals. In this study, time series traces which traverse the selected work zones will be collected. The speed data at 0.1 second intervals will be collected for the trips traversing through the entire work zones. Work zone configurations can be determined by using the forward view videos, including: number and type of closed lanes, type and location of temporary traffic control devices, area types, presence of dynamic message signs (DMS) or other intelligent transportation systems (ITS) technologies, presence of workers, and presence of equipment. The forward- and rear-view videos will be watched to identify the number of other vehicles in the videos to estimate the traffic density around the naturalistic driving vehicle in addition to the front radar data. The average traffic flow rate can be estimated based on the observed speed and density. The capacities of different work zone sections and configurations can be estimated based on the developed speed-flow relationships. The work zone capacity obtained from NDS data can be utilized to verify and calibrate the work zone capacity method defined by the new edition of Highway Capacity Manual (HCM). The probability of breakdown can then be estimated for each level of flow rates and volume to capacity (v/c) ratios and can be used to verify the results by the model in the HCM.

• Record URL:
  https://stride.ce.ufl.edu/wp-content/uploads/2018/08/B2-Abstract.pdf
• 

Project

• Status: Active
• Funding: $49883
• Contract Numbers:

  69A3551747104

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

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

  Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

  University of Florida
  365 Weil Hall
  Gainesville, FL  United States  32611
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  Auburn University

  Auburn, AL  United States  36830
• Principal Investigators:

  Zhou, Huaguo (Hugo)

• Start Date: 20180816
• Expected Completion Date: 20190815
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Calibration; Freeways; Highway capacity; Intelligent transportation systems; Mobility; Time series analysis; Traffic flow; Traffic volume; Video; Work zone traffic control; Work zones
• Identifier Terms: Highway Capacity Manual
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01679761
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RiP
• Created Date: Aug 27 2018 12:06PM