I-15 North Project

I-15 North Project

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I-15 North Project
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    Goals of this project were as follows: (1) Conduct a comprehensive evaluation study on Nevada's I-15 North Design Build Project; (2) Analyze project implementation with respect to construction zone rules by which the contractor had to abide; (3) Analyze data collected from Freeway and Arterial System of Transportation (FAST) for the various detour strategies; (4) Study public outreach methods and their effectiveness; (5) Conduct simulations of the network as well as major intersections; and (6) Develop guidelines for future major urban freeway detours. Developing such guidelines is of major importance because over the next decade several major freeway reconstruction projects are planned in Nevada. To achieve these goals the authors collected the data from various resources including the flow detector data provided by Regional Transportation Center (RTC)-FAST. State-of-the-art techniques were applied to analyze the data which were in various formats. Statistical analysis techniques like wavelet analysis, logistic regression, T-Test, analysis of variance (ANOVA), and methods of moments were applied to analyze quantitative data. Several machine learning and Natural Language Processing (NLP) techniques were applied to qualitative data to predict the severity of incidents, for extraction of sentiments in user comments and to find the exact sense of words in which they were used in user comments or complaint. The authors developed an integrated software Performance Analysis System (PAS) for analysis in future.
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