Development of an empirical based air quality traffic management tool and strategies for the Borman expressway
Abstract
The purpose of this study is to monitor the impact of traffic congestion along the Borman Expressway, Interstate 80/94, on local ambient PM2.5 flux. The duration of this study is from January 15, 2002 to June 1, 2002, and includes two different traffic data locations, milepost 2.5 and 5.9, and one ambient environmental station, milepost 4.1. Milepost 2.6 records five-minute average occupancies for both eastbound and westbound lane directions. The second traffic location, a weigh-in-motion (WIM) station is located at milepost 5.9, records real time truck speeds, weights, classifications, and equivalent single-axle load (ESAL) parameters. The mobile ambient air sampling laboratory located 45.7 meters (150 feet) south of the Borman Expressway at milepost 4.1 monitors with a ten-second integrated average eight different environmental parameters including: PM2.5, CO, wind speed, wind direction, cumulative rainfall, relative humidity, wet and dry bulb temperatures. Over the duration of this study the final dataset includes 30,000 five-minute intervals. This dataset is used to develop a classification decision tree, which characterizes the impact of different traffic levels on local ambient air quality. This tree contains 16 different traffic clusters and shows an 87.4% change in air quality between normal operating and heavy congestion levels along the Borman Expressway. In addition to the development of the decision tree, transitional probabilities are calculated for each of the 16 clusters. These 16 cluster probabilities are used to predict future traffic activities and resulting ambient air conditions.
Degree
Ph.D.
Advisors
Jacko, Purdue University.
Subject Area
Civil engineering|Environmental engineering
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