{"678302":{"#nid":"678302","#data":{"type":"event","title":"PhD Defense by Yongyang Liu","body":[{"value":"\u003Cp\u003E\u003Cem\u003EAnnouncement posted 13 days in advance of defence due to time of day sent to GSSO\u003C\/em\u003E.\u003C\/p\u003E\u003Cp\u003ESchool of Civil and Environmental Engineering\u003C\/p\u003E\u003Cp\u003EPh.D. Thesis Defense Announcement\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ENAVIGATING MIXED TRAFFIC: LATERAL AND LONGITUDINAL CONTROL FOR CONNECTED AND AUTONOMOUS VEHICLES WITH A HUMAN-CENTRIC APPROACH\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EBy\u003Cstrong\u003E\u0026nbsp;Yongyang Liu\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAdvisor:\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDr. Srinivas Peeta\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECommittee Members:\u003Cstrong\u003E\u0026nbsp;Dr. Patricia L. Mokhtarian (CEE), Dr. Jorge A. Laval (CEE), Dr. Guanghui Lan (ISyE), Dr. Shubham Agrawal\u0026nbsp;(Clemson University)\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDate and Time:\u003Cstrong\u003E\u0026nbsp;November 21, 2024. 1:00 PM EST\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELocation:\u0026nbsp;Mason 4162\u003C\/p\u003E\u003Cp\u003EZoom: \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/99832256500\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/99832256500\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EABSTRACT\u003Cbr\u003EWith advanced situational awareness and automation capabilities, connected and\u003Cbr\u003Eautonomous vehicles (CAVs) promise to improve traffic safety, smoothness, and\u003Cbr\u003Eefficiency. However, the impending coexistence of CAVs with human-driven vehicles\u003Cbr\u003E(HDVs) in mixed-traffic environments presents significant challenges, particularly\u003Cbr\u003Efor lane changes. This dissertation develops human-centric control strategies for\u003Cbr\u003ECAVs to improve interactions with HDVs in lane changes. First, the dissertation\u003Cbr\u003Eintroduces a proactive longitudinal control strategy for CAVs to preclude potentially\u003Cbr\u003Edisruptive HDV lane changes, to improve the stability of CAV platooning operations.\u003Cbr\u003ESecond, it develops a human-emulation-based approach that uses legible CAV\u003Cbr\u003Emotions to assist HDV lane changes, to enhance HDV drivers\u2019 mental comfort and\u003Cbr\u003ECAV platoon smoothness. Next, the dissertation proposes a hierarchical humancentric\u003Cbr\u003Econtrol strategy for CAVs to manage HDV lane changes to improve overall traffic performance while ensuring the mental comfort of both HDV drivers and CAV\u003Cbr\u003Eusers. Then, using a driving simulator environment, it explores the challenges\u003Cbr\u003Eexperienced by HDV drivers during lane changes in mixed traffic and analyzes their\u003Cbr\u003Ebehavior evolution under repeated interactions with CAVs. The dissertation then\u003Cbr\u003Eproposes a comprehensive safety performance framework that combines multiple\u003Cbr\u003Esurrogate safety metrics to analyze the safety of HDV lane changes in mixed traffic.\u003Cbr\u003EFinally, by integrating human intelligence and cognition with CAV situational\u003Cbr\u003Eawareness and response time capabilities, it develops a human-like lane-change\u003Cbr\u003Econtrol strategy for CAVs that leverages human-like lane-change behavior to\u003Cbr\u003Eimprove CAV-HDV interactions.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ENAVIGATING MIXED TRAFFIC: LATERAL AND LONGITUDINAL CONTROL FOR CONNECTED AND AUTONOMOUS VEHICLES WITH A HUMAN-CENTRIC APPROACH\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"NAVIGATING MIXED TRAFFIC: LATERAL AND LONGITUDINAL CONTROL FOR CONNECTED AND AUTONOMOUS VEHICLES WITH A HUMAN-CENTRIC APPROACH"}],"uid":"27707","created_gmt":"2024-11-08 19:40:13","changed_gmt":"2024-11-08 19:40:46","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-21T13:00:00-05:00","event_time_end":"2024-11-21T15:00:00-05:00","event_time_end_last":"2024-11-21T15:00:00-05:00","gmt_time_start":"2024-11-21 18:00:00","gmt_time_end":"2024-11-21 20:00:00","gmt_time_end_last":"2024-11-21 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":" Mason 4162","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":""}}}