Enhanced Truck Data Collection and Analysis for Emissions Modeling
The objective of this research is to develop a guide for transportation practitioners on methods, procedures, and data sets needed to capture commercial vehicle activity, vehicle characteristics, and operations to assist in estimating and forecasting criteria pollutants, air toxics, and greenhouse gas emissions from goods and services movement. The guide should address a broad range of issues and needs associated with estimating and forecasting commercial vehicle activity for emission modeling which may include but not be limited to the following: (1) Recent freight and emissions modeling research that complements the current research (2) Methods to classify various trucking segments for emissions analyses (3) Methods to collect and evaluate truck activity data by different truck segments (4) Methods to collect truck vehicle characteristics and truck inventory data (5) Methods to collect and evaluate truck operational data (6) Methods to address the data interface and any potential gaps between freight forecasting and emissions modeling It is expected that the guide will include case studies that (1) demonstrate, evaluate, and refine the methods in urban area applications; (2) evaluate the data interface between freight forecasting and emissions modeling; and (3) assess the use of the collected data to inform emissions analyses resulting from changes in goods and services activity and truck characteristics.
- Record URL:
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Supplemental Notes:
- Published as NCHRP Report 909.
Language
- English
Project
- Status: Completed
- Funding: $500000
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Contract Numbers:
Project 08-101
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Performing Organizations:
Cambridge Systematics
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Principal Investigators:
Porter, Chris
- Start Date: 20150622
- Expected Completion Date: 20180630
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Data collection; Forecasting; Freight traffic; Guidelines; Mathematical models; Methodology; Pollutants; Trucks
- Subject Areas: Data and Information Technology; Environment; Freight Transportation; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01753846
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 08-101
- Files: TRB, RiP
- Created Date: Sep 28 2020 3:04PM