Details:

Creators:
Wei, Heng ; Liu, Hao ; Lu, Mingming ; Coifman, Benjamin A.
Wei, Heng ; Liu, Hao ; Lu, Mingming ; Coifman, Benjamin A. Less -
Corporate Creators:
University of Cincinnati. Dept. of Civil/Architectural Enginerring and Construction Management
Corporate Contributors:
United States. Federal Highway Administration
Subject/TRT Terms:
[+]
Air Quality Management Case Studies Conformity Data Collection Microsimulation Particulates Pollutants Traffic Data
Publication/ Report Number:
FHWA/OH-2014/9
Resource Type:
Tech Report
Geographical Coverage:
Ohio
Corporate Publisher:
Ohio. Dept. 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.


Format:
PDF
Funding:
SJN 134662
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:18998fb29bf4a50f87188e94b1a7afff9e94edc0cd9ef3971d76058b21cfbe34
Download URL:
https://rosap.ntl.bts.gov/view/dot/27868/dot_27868_DS1.pdf
File Type:

Supporting Files

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