Use of subsampled traffic data to estimate roadway emissions, including conversion to MOBILE6 vehicle classifications.
Air quality is degraded by many factors, among which the emissions from on-road vehicles play a significant role. Timely and accurate estimate of such emissions becomes very important for policy-making and effective control measures. However, lack of traffic data and outdated emission software make this task difficult. This research has demonstrated a new method that facilitates the vehicular emission inventories at the local level by using shorter-time Highway Performance Monitoring System (HPMS) traffic data along with the latest U.S. Environment Protection Agency (EPA) emission modeling software, MOBILE6. The conversion methodology was developed for converting readily available HPMS traffic volume data into EPA MOBILE-based traffic classifications, and a corresponding software program was written for automating the process. EPA MOBILE6 model was used to obtain emissions of nitrogen oxides (NOx), volatile organic compound (VOC), and cabon monoxide (CO) emitted by the parent traffic and subsampled traffic data, and these emissions were additionally compared. The case study has shown that the difference of the magnitude between the emission estimates produced by certain subsampled and parent traffic data are minor, indicating that subsampled HPMS data can be used for reporting parent traffic emissions. It was also observed that traffic emissions follow a Weibull distribution, and NOx emissions were more sensitive to the traffic data composition than VOC and CO. Lastly, use of average emission values of 20 or 30 consecutive minutes appears to be valid for representing hourly emissions.
Yao
Maosheng
M
Department of Environmental Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Williamson
Derek G
DG
McFadden
John
J
D000393:Air Pollutants / Q000032:analysis*; D002248:Carbon Monoxide / Q000032:analysis; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D005742:Gasoline; D008962:Models, Theoretical; D018986:Motor Vehicles / Q000145:classification*; D009589:Nitrogen Oxides / Q000032:analysis; D009930:Organic Chemicals / Q000032:analysis; D012984:Software; D014481:United States; D014484:United States Environmental Protection Agency; D001335:Vehicle Emissions / Q000032:analysis*; D014835:Volatilization
D000393:Air Pollutants; D005742:Gasoline; D009589:Nitrogen Oxides; D009930:Organic Chemicals; D001335:Vehicle Emissions; D002248:Carbon Monoxide