A queueing model of traffic to balance costs and emissions -

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In this thesis, a highway system is analyzed based on established queueing theory models of traffic systems. Various model parameters are estimated from studies that utilize real data. Key Performance Indicators (KPIs), such as the throughput, the mean number of vehicles and average waiting time are calculated. We solve for the optimal number of lanes which minimizes the joint costs of building new roads and the costs of delays due to traffic. The model also incorporates the costs resulting from the environmental impact, in terms of carbon emissions, of road construction and traffic congestion. A sensitivity analysis is also presented, illustrating the most influential environmental parameters.

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Thesis. M.E.M. American University of Beirut. Department of Industrial Engineering and Management, 2017. ET:6538
Advisor : Dr. Walid Nasr, Associate Professor, Industrial Engineering and Management ; Committee members : Dr. Bacel Maddah, Chairperson and Associate Professor, Industrial Engineering and Management ; Dr. Maya Abou Zeid, Assistant Dean and Associate Professor, Civil and Environmental Engineering.
Includes bibliographical references (leaves 22-24)

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