{"653069":{"#nid":"653069","#data":{"type":"event","title":"PhD Defense by Rafegh Aghamohammadi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESchool of Civil and Environmental Engineering\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPh.D. Thesis Defense Announcement\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMacroscopic Urban Network Dynamics: Estimation and Applications\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBy:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERafegh Aghamohammadi\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Jorge A. Laval (CEE)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Srinivas Peeta (CEE), Dr. Patricia Mokhtarian (CEE),\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. David Goldsman (ISyE), Dr. Guanghui Lan (ISyE)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate \u0026amp; Time:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFriday, December 3\u003Csup\u003Erd\u003C\/sup\u003E, 2021, at 11 AM (EST)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EIn-person:\u003C\/strong\u003E Sustainable Education Building (SEB) 122\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EVirtual:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/PhDdefense.rafegh.me\u0022\u003Ehttps:\/\/PhDdefense.rafegh.me\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring the past decade there has been significant research efforts in developing traffic control and management\u003Cbr \/\u003E\r\nmethods based on an aggregated representation of traffic networks. In fact, the traditional link-level network\u003Cbr \/\u003E\r\nrepresentation imposes prohibitive computational costs for typical large-scale urban networks. Thankfully, it has\u003Cbr \/\u003E\r\nbeen observed that at a macroscopic level, the relationship between any pair of network-average traffic variables\u003Cbr \/\u003E\r\ncan be described by simple functions called macroscopic fundamental diagrams (MFD). However, current MFD\u003Cbr \/\u003E\r\nestimation methods were mainly conceived for individual arterial corridors and their application to urban networks\u003Cbr \/\u003E\r\nhas not been validated using extensive empirical data.\u003Cbr \/\u003E\r\nThis dissertation fills this gap by extending current MFD estimation methods to large-scale real-life networks,\u003Cbr \/\u003E\r\nwhile using empirical data from 41 cities around the world for calibration and validation. This dissertation further\u003Cbr \/\u003E\r\ninvestigates the efficient application of MFD in travelers\u0026#39; route choice using the dynamic traffic assignment (DTA)\u003Cbr \/\u003E\r\nmethods and sets forth the discrete- and continuum-space DTA approaches are intrinsically similar and can be\u003Cbr \/\u003E\r\nseen as equivalents on different aggregation levels, although they previously seemed to be the two extreme ends\u003Cbr \/\u003E\r\nof the macroscopic DTA spectrum. A novel continuum-space DTA modeling framework consistent with the MFD\u003Cbr \/\u003E\r\ntheory and assumptions has been developed and a semi-Lagrangian solution method has been proposed by\u003Cbr \/\u003E\r\nsplitting up the network into smaller zones, which can be implemented for minimizing either the travel times of\u003Cbr \/\u003E\r\nindividual users or the total travel time of all users in the network. Finally, the potentiality of implementing the\u003Cbr \/\u003E\r\nMFD in microscopic vehicular emissions estimation models has been explored.\u003Cbr \/\u003E\r\nThe major findings of this dissertation are as follows. The empirical MFD validation results identify the most\u003Cbr \/\u003E\r\nimportant challenges in both analytical and empirical MFD estimation approaches as: (i) the distribution of loop\u003Cbr \/\u003E\r\ndetectors within the links, (ii) the distribution of loop detectors across the network, and (iii) the treatment of\u003Cbr \/\u003E\r\nunsignalized intersections and their impact on the block length. The numerical experiment results using the\u003Cbr \/\u003E\r\nproposed DTA framework indicate that partitioning the network into a finer grid of zones can yield more accurate\u003Cbr \/\u003E\r\nresults with respect to the approximated analytical solutions without significant loss of efficiency and demonstrate\u003Cbr \/\u003E\r\nthe potential of application of this framework for real-life networks with arbitrary network and zone shapes. The\u003Cbr \/\u003E\r\ncomparison between the results and runtimes of the emissions estimations conducted in 4 different aggregation\u003Cbr \/\u003E\r\nlevels: lane, link, corridor, and network, reveals that the efficiency can be significantly improved by utilizing more\u003Cbr \/\u003E\r\naggregated network representation under some considerations. This will make the MFD a powerful tool for real-\u003Cbr \/\u003E\r\ntime emissions estimation and control.\u003Cbr \/\u003E\r\nhttp:\/\/PhDdefense.rafegh.me\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Macroscopic Urban Network Dynamics: Estimation and Applications"}],"uid":"27707","created_gmt":"2021-11-22 15:18:14","changed_gmt":"2021-11-22 15:18:14","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-12-03T11:00:00-05:00","event_time_end":"2021-12-03T13:00:00-05:00","event_time_end_last":"2021-12-03T13:00:00-05:00","gmt_time_start":"2021-12-03 16:00:00","gmt_time_end":"2021-12-03 18:00:00","gmt_time_end_last":"2021-12-03 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}