Modeling Impact of and Mitigation Measures for Recurring Freeway Bottlenecks

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dc.contributor.advisor Joe Hummer, Committee Member en_US
dc.contributor.advisor Billy Williams, Committee Member en_US
dc.contributor.advisor Nagui Rouphail, Committee Chair en_US
dc.contributor.author Clark, Zachary Thomas en_US
dc.date.accessioned 2010-04-02T18:07:00Z
dc.date.available 2010-04-02T18:07:00Z
dc.date.issued 2008-03-06 en_US
dc.identifier.other etd-09072007-122248 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/1740
dc.description.abstract Recurrent congestion is a continually growing problem on urban freeways. Facility expansions cannot keep pace with the growing vehicle demand. Low-cost mitigation measures are one way to alleviate the congestion at recurring bottleneck locations. Low-cost measures typically have a life of approximately 10 years and costs ranging from $8,000 to $2.45 million. While benefits have been realized in field applications, there hasn't been a lot of study regarding the performance of these measures in terms of added capacity. While modeling has long been a tool for planning and analyzing freeway networks, there has been little reported regarding its use for estimating the benefits of low-cost freeway improvements. In this study, the author tested proposed treatments at two sites using both a macroscopic and microscopic model. Because empirical performance information of these measures is not available, a quantitative analysis would not be reasonable since confidence in the values reported would be low. Current bottleneck identification methods typically either predict breakdown in real-time, or analyze detector data off-line. In order to identify bottlenecks from recorded aggregated data in an off-line model, criteria were generated to identify active bottlenecks and analyze the models' performance in an empirical and qualitative manner. Application of the criteria has been shown to provide reliable bottleneck identification to the calibrated pre-treatment case and expected results in the post-treatment cases. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject freeway en_US
dc.subject bottleneck en_US
dc.subject modeling en_US
dc.title Modeling Impact of and Mitigation Measures for Recurring Freeway Bottlenecks en_US
dc.degree.name MS en_US
dc.degree.level thesis en_US
dc.degree.discipline Civil Engineering en_US


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