{"553011":{"#nid":"553011","#data":{"type":"event","title":"PhD Defense by Denise Smith","body":[{"value":"\u003Cp align=\u0022center\u0022\u003E\u003Cem\u003E\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003ESchool of Civil and Environmental Engineering\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EPh.D. Thesis Defense Announcement\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003EModeling and Understanding the Implications of Future Truck Technology Scenarios for\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003EPerformance-Based Freight Corridor Planning\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EBy\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003EDenise A. Smith\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EAdvisor\u003C\/strong\u003E\u003Cstrong\u003Es:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003EDr. Frank Southworth (CEE) and Dr. Adjo Amekudzi-Kennedy (CEE)\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003EDr. Ram Pendyala (CEE), Dr. Catherine Ross (COA\/CEE), Dr. Michael Meyer (Parsons Brinckerhoff)\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EDate \u0026amp; Time:\u003C\/strong\u003E Tuesday, August 2, 2016, 1:30 PM\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E Sustainable Education Building, 122\u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003EAutonomous highway vehicles are coming. Many advocates predict that autonomous trucks, in particular, will\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ebe commercially available within the next decade. This includes autonomous and connected multi-vehicle truck\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eplatoons. Unfortunately, this technology is developing more rapidly than the public sector is preparing for it: a\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Esituation exacerbated by the fact that the expected arrival of the platoons is within the current planning horizon of\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Etransportation planning agencies. Thus, there is a need to explore the implications of the technology for planning\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Epurposes, which will require the development of tools to quantify potential costs and benefits. With these needs in\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Emind, the objectives of this thesis were to (1) develop a simulation modeling and performance measurement tool\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ewhich incorporates truck platooning technology, (2) demonstrate how this tool can be applied to the I-85 and I-285\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ecorridor in Georgia, and (3) develop a scenario planning framework that uses the results from the tool to guide policy\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Edevelopment. The modeling tool consists of an iteratively linked, multi-commodity and multi-vehicle class truck trip\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Edistribution and a traffic assignment model, requiring changes to the typical travel demand modeling process to\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ecapture the characteristics of platooning technology. The results from an empirical application of this model were\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eused to assess the safety-, economic-, congestion-, and emissions-related impacts of platooning technology.\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003EThe model allowed for variations in platooning details through a multi-variable sensitivity analysis. This\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eanalysis showed a range of costs and benefits of the technology, with the greatest benefits seen when labor costs were\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ecut by allowing some of the trucks to be driverless. Allowing the autonomous trucks to operate on a dedicated lane\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ewas found to tremendously reduce travel time and congestion for those trucks. In some scenarios, these congestion\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ebenefits came at the expense of the convenience of other vehicles, while in other scenarios, these vehicles experienced\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Emodest congestion-reduction benefits. The emissions impacts varied; the benefits for fuel consumption and emissions\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Ewere as much as 9% at optimal speeds. While these findings are insightful, it is important to note that they are based\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eon a specific set of assumptions. Changing the assumptions in some cases could significantly change the results.\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003EThis research is one of the first efforts to modify a traditional travel demand model to simulate autonomous\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Etruck platoons. One of the key components of this contribution is the use of an origin-user equilibrium traffic\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eassignment, a relatively new path-based assignment which allows the user to specify vehicle class and origin specific\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Etraffic flows, and assign them to the network simultaneously, and which has yet to be explored in depth with respect\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eto multiple truck class-based, notably platoon-inclusive, freight movements. Additionally, the research presents a new\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eapplication of the Freight Analysis Framework, a widely used freight database within the United States. Given the\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Euncertainty associated with platooning technology, there are various limitations of this research. As the details of\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003Eplatooning technology become clearer, tools such as the one developed here can help transportation planners better\u003C\/p\u003E\u003Cp\u003Eincorporate such technological advances into their planning process.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Modeling and Understanding the Implications of Future Truck Technology Scenarios for"}],"uid":"27707","created_gmt":"2016-07-15 08:26:36","changed_gmt":"2016-10-08 02:18:22","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2016-08-02T14:30:00-04:00","event_time_end":"2016-08-02T16:30:00-04:00","event_time_end_last":"2016-08-02T16:30:00-04:00","gmt_time_start":"2016-08-02 18:30:00","gmt_time_end":"2016-08-02 20:30:00","gmt_time_end_last":"2016-08-02 20:30:00","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":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}