Traffic Data for Integrated Project-Level PM2.5 Conformity Analysis.

Details

• Creators:
  Wei, Heng ; Liu, Hao ; Lu, Mingming ; Coifman, Benjamin A.
• Corporate Creators:
  University of Cincinnati. Department of Civil and Architectural Engineering and Construction Management
• Corporate Contributors:
  United States. Federal Highway Administration
• Subject/TRT Terms:
  • Traffic data
  • Data collection
  • Microsimulation
  • Air quality management
  • Pollutants
  • Particulates
  • Case studies
  • Conformity
• Publication/ Report Number:
  FHWA/OH-2014/9
• Resource Type:
  Tech Report
• Geographical Coverage:
  Ohio
• Corporate Publisher:
  Ohio. Department of Transportation. Office of Statewide Planning and Research
• Abstract:
  As required by the U.S. Environmental Protection Agency (EPA), the MOVES model is the mandatory emission ; tool for new PM hot-spot analyses for project-level conformity determinations that began after December 20, 2012. ; Localized traffic data inputs to the model are crucial in maximizing its capability to accurately reflect the PM2.5 emissions associated with transportation programs and projects. However, accurately acquiring local traffic ; operating related data for project-level MOVES analysis is always a challenge to realistic practices. To address the ; issue, the three existing traffic data sources in Ohio that can be used as inputs for the MOVES model have been ; identified and analyzed through the project. The first one is referred to as the ATR data source, which contains ; hourly or 15-minute traffic volume and vehicle composition. The second one, PVR data source, provides individual ; vehicle’s timestamp, class and speed information. The third one is the micro-simulation data source, which ; includes individual vehicle’s class, speed profile and acceleration profile. The applicability of the available data ; sources has been evaluated by using the sample data collected on the I-275 freeway in Cincinnati, Ohio. ; Specifically, the roadside PM2.5 concentration is estimated based on the sample traffic data and the modeled ; concentration is compared to the observed data. The compared results indicate that the PVR data source is ; preferred for the project-level PM2.5 analysis. It requires less effort to collect and provides the most accurate results ; when compared to other data sources. The normalized mean-square-error of the modeled concentration can be ; reduced by 30.5% if the PVR data are used with the operating mode distribution data prepared based on the ; simulation data source. Finally, an easy-to-use computer tool in the ArcGIS environment, termed as Traffic Air ; Environmental Health Impact Analysis (TAEHIA) supporting system, has been developed to facilitate the ; application of the identified data sources into the PM2.5 conformity analysis conforming to the ODOT and U.S. EPA ; guidelines. The TAEHIA system is designed to: 1) incorporate the traffic data sources available in Ohio; 2) ; implement the PM2.5 conformity analysis steps as recommended by the EPA hot-spot conformity analysis ; guideline; and 3) simplify users’ tasks in the conformity analysis. The application of the TAEHIA system has been ; demonstrated in two case studies. As shown by the case studies, it is a user-friendly, straightforward way to ; analyze the transportation conformity within the TAEHIA environment.
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• Format:
  PDF
• Funding:
  SJN 134662
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27868/dot_27868_DS1.pdf
• File Type:
  [PDF - 2.21 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:51f80f233f6eeffd22243bea9ad24ed13528fc80cab109ecd70fa4755b25e41ff41b880bb99516cefc5262fccf638c4ab5b16739738e1c2df519a1610706114c