Customers & Industries: Air and Waste Management Association Industry: Environment Product(s): @RISK Application: Estimating vehicles on congested roads Summary Brian Freeman, Bahram Gharabaghi, and Jesse Thé use @RISK to create a novel stochastic Monte Carlo method to estimate the number and type of vehicles on a 1-km stretch congested roadway. This technique can then be linked to vehicle emission data to estimate real-time mobile source pollution on roadways due to traffi c conditions. This work was also covered in the article “Estimation of Mixed Traffi c Densities in Congested Roads Using Monte Carlo Analysis” in Air & Waste Management Association’s April 2015 EM Magazine. @RISK Home Customers & Industries Air and Waste Management Association You can quickly create a [@RISK] model in E

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