BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220310T172737Z UID:74E80275-0A14-4D35-835C-FB65083D1CC1 DTSTART;TZID=US/Eastern:20220309T163000 DTEND;TZID=US/Eastern:20220309T173000 DESCRIPTION:Nearly every facet of our society is undergoing a shift of conn ecting the individuals to the community. The “Internet of Things” move ment is giving great power to the individuals\, by personalizing informati on that is time and location-aware. In the broad transportation community\ , building on the momentum and success of prior and current research\, two primary areas have been identified as the forefront of ITS (Intelligent T ransportation Systems) research\, Connected and Automated Vehicles (CAV). In this talk\, I will first talk about the research challenges and opportu nities in intelligent vehicle and transportation systems\, and present thr ee related research projects\, accurate prediction of traffic flow using n eural networks\, personalized driving route prediction based on V2I commun ication and neural learning\, and remote vehicle trajectory detection and prediction based on V2V communication data using geometric modeling and ne ural networks.\n\nSpeaker(s): Yi Lu Murphey\, \n\nAgenda: \n4:30 PM - Welc ome and Introductions\, Chapter business update\;\n\n4:35 PM - Technical T alk\n\n5:20 PM - End of technical Talk\, Start of Q & A\n\n5:30 PM - Wrap Up!\n\n/* ALL TIMES are USA EST/EDT */\n\nDetroit\, Michigan\, United Stat es\, 48309-4479\, Virtual: https://events.vtools.ieee.org/m/300758 LOCATION:Detroit\, Michigan\, United States\, 48309-4479\, Virtual: https:/ /events.vtools.ieee.org/m/300758 ORGANIZER:sharan.kalwani@ieee.org SEQUENCE:10 SUMMARY:Intelligent Vehicles and Transportation Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/300758 X-ALT-DESC:Description: <br /><p>Nearly every facet of our society is under going a shift of connecting the individuals to the community. The &ldquo\; Internet of Things&rdquo\; movement is giving great power to the individua ls\, by personalizing information that is time and location-aware. In the broad transportation community\, building on the momentum and success of p rior and current research\, two primary areas have been identified as the forefront of ITS (Intelligent Transportation Systems) research\, Connected and Automated Vehicles (CAV). In this talk\, I will first talk about the research challenges and opportunities in intelligent vehicle and transport ation systems\, and present three related research projects\, accurate pre diction of traffic flow using neural networks\, personalized driving route prediction based on V2I communication and neural learning\, and remote ve hicle trajectory detection and prediction based on V2V communication data using geometric modeling and neural networks.</p><br /><br />Agenda: <br / ><p><span style="font-family: courier new\,courier\,monospace\; font-size: 14pt\;">4:30 PM - Welcome and Introductions\, Chapter business update\; < br /></span></p>\n<p><span style="font-family: courier new\,courier\,monos pace\; font-size: 14pt\;">4:35 PM - Technical Talk</span></p>\n<p><span st yle="font-family: courier new\,courier\,monospace\; font-size: 14pt\;">5:2 0 PM - End of technical Talk\, Start of Q &amp\; A</span></p>\n<p><span st yle="font-family: courier new\,courier\,monospace\; font-size: 14pt\;">5:3 0 PM - Wrap Up</span><span style="font-family: courier new\,courier\,monos pace\; font-size: 14pt\;">!</span></p>\n<p><span style="color: #e03e2d\;"> <strong>/* ALL TIMES are USA EST/EDT */</strong></span></p> END:VEVENT END:VCALENDAR