BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260819T065450Z UID:53E84A63-5CE2-46DE-9ECB-82035C52A9E7 DTSTART;TZID=Asia/Kolkata:20260817T093000 DTEND;TZID=Asia/Kolkata:20260817T110000 DESCRIPTION:Artificial Intelligence Approaches for Integrating CCAM in Urba n Traffic\n\nIEEE Computational Intelligence Society Student Branch Chapte r (SBC16391F)\, in association with the IEEE RGM Student Branch and IEEE H yderabad Section\, is organizing a featured workshop titled “Artificial Intelligence Approaches for Integrating CCAM in the Urban Traffic.”\n\nT he session will focus on the role of Artificial Intelligence in Cooperativ e\, Connected and Automated Mobility (CCAM) and its applications in modern urban transportation. The workshop will cover AI-driven approaches for de veloping smart transportation infrastructure\, connected systems\, automat ed vehicles\, and intelligent traffic management solutions aimed at improv ing efficiency\, reducing congestion\, and enabling safer and more sustain able mobility.\n\nThe workshop will be delivered by Prof. Maria Pia Fanti\ , Full Professor of System and Control Engineering at the Polytechnic Univ ersity of Bari\, Italy. With extensive research contributions in control s ystems\, transportation\, logistics\, manufacturing systems\, and intellig ent mobility\, Prof. Fanti will share insights into real-world CCAM applic ations\, simulation environments\, and field implementations.\n\nThe event is scheduled for 17 August 2026 at 9:30 AM IST. The workshop is free of c ost\, and e-certificates will be provided to participants.\n\nThe event pr ovides an excellent opportunity for students\, researchers\, and faculty m embers to gain insights into emerging AI technologies and their practical applications in smart and sustainable urban transportation.\n\n[]\n\nTechn ical Session\n\nThe session focused on Artificial Intelligence Approaches for Integrating Cooperative\, Connected and Automated Mobility (CCAM) in U rban Traffic. Prof. Maria Pia Fanti explained how Artificial Intelligence can be applied to modern transportation systems to make urban mobility mor e cooperative\, connected\, automated\, safe\, and efficient.\n\nThe speak er explained the concept of CCAM and how communication between vehicles\, infrastructure\, and transportation systems can improve traffic management . The session covered the role of AI-based intelligent transportation syst ems\, connected vehicles\, automated vehicles\, smart traffic infrastructu re\, and intelligent traffic management platforms.\n\nShe discussed how AI can be used to analyze traffic conditions\, optimize vehicle movement\, r educe traffic congestion\, improve transportation efficiency\, and support safer mobility. The importance of cooperation and connectivity among vehi cles and road infrastructure was also highlighted for developing smart urb an transportation networks.\n\nThe speaker further presented real-world ca se studies from European projects\, explaining how simulation environments and field implementations can be used to test and deploy intelligent tran sportation solutions. The session provided participants with insights into the practical applications of AI and Computational Intelligence in smart traffic management and sustainable urban mobility.\n\nOverall\, the worksh op helped participants understand how AI technologies can contribute to th e development of future-ready intelligent transportation systems\, with em phasis on efficiency\, congestion reduction\, connectivity\, automation\, and road safety.\n\n[][]\n\n[][]\n\nCo-sponsored by: RGMCET\n\nSpeaker(s): Maria Pia Fanti\, \n\nVirtual: https://events.vtools.ieee.org/m/572727 LOCATION:Virtual: https://events.vtools.ieee.org/m/572727 ORGANIZER:rprathap8499@gmail.com SEQUENCE:31 SUMMARY:ARTIFICIAL INTELLIGENCE APPROACHES FOR INTEGRATING CCAM IN THE URBA N TRAFFIC URL;VALUE=URI:https://events.vtools.ieee.org/m/572727 X-ALT-DESC:Description: <br /><p><strong>Artificial Intelligence Approaches for Integrating CCAM in Urban Traffic</strong></p>\n<p>IEEE Computational Intelligence Society Student Branch Chapter (SBC16391F)\, in association with the IEEE RGM Student Branch and IEEE Hyderabad Section\, is organizin g a featured workshop titled <strong>&ldquo\;Artificial Intelligence Appro aches for Integrating CCAM in the Urban Traffic.&rdquo\;</strong></p>\n<p> The session will focus on the role of <strong>Artificial Intelligence in C ooperative\, Connected and Automated Mobility (CCAM)</strong> and its appl ications in modern urban transportation. The workshop will cover AI-driven approaches for developing smart transportation infrastructure\, connected systems\, automated vehicles\, and intelligent traffic management solutio ns aimed at improving efficiency\, reducing congestion\, and enabling safe r and more sustainable mobility.</p>\n<p>The workshop will be delivered by <strong>Prof. Maria Pia Fanti</strong>\, Full Professor of System and Con trol Engineering at the <strong>Polytechnic University of Bari\, Italy</st rong>. With extensive research contributions in control systems\, transpor tation\, logistics\, manufacturing systems\, and intelligent mobility\, Pr of. Fanti will share insights into real-world CCAM applications\, simulati on environments\, and field implementations.</p>\n<p>The event is schedule d for <strong>17 August 2026 at 9:30 AM IST</strong>. The workshop is <str ong>free of cost</strong>\, and <strong>e-certificates will be provided</s trong> to participants.</p>\n<p>The event provides an excellent opportunit y for students\, researchers\, and faculty members to gain insights into e merging AI technologies and their practical applications in smart and sust ainable urban transportation.</p>\n<p><img src="https://events.vtools.ieee .org/vtools_ui/media/display/b7aa5d8b-3b8b-4fc7-b7f6-ec2e1eb608b2" alt="" width="507" height="338"></p>\n<h1>Technical Session</h1>\n<p>The session focused on <strong>Artificial Intelligence Approaches for Integrating Coop erative\, Connected and Automated Mobility (CCAM) in Urban Traffic</strong >. Prof. Maria Pia Fanti explained how Artificial Intelligence can be appl ied to modern transportation systems to make urban mobility more <strong>c ooperative\, connected\, automated\, safe\, and efficient</strong>.</p>\n< p>The speaker explained the concept of <strong>CCAM</strong> and how commu nication between vehicles\, infrastructure\, and transportation systems ca n improve traffic management. The session covered the role of <strong>AI-b ased intelligent transportation systems\, connected vehicles\, automated v ehicles\, smart traffic infrastructure\, and intelligent traffic managemen t platforms</strong>.</p>\n<p>She discussed how AI can be used to <strong> analyze traffic conditions\, optimize vehicle movement\, reduce traffic co ngestion\, improve transportation efficiency\, and support safer mobility< /strong>. The importance of cooperation and connectivity among vehicles an d road infrastructure was also highlighted for developing smart urban tran sportation networks.</p>\n<p>The speaker further presented <strong>real-wo rld case studies from European projects</strong>\, explaining how simulati on environments and field implementations can be used to test and deploy i ntelligent transportation solutions. The session provided participants wit h insights into the practical applications of AI and Computational Intelli gence in <strong>smart traffic management and sustainable urban mobility</ strong>.</p>\n<p>Overall\, the workshop helped participants understand how AI technologies can contribute to the development of <strong>future-ready intelligent transportation systems</strong>\, with emphasis on efficiency \, congestion reduction\, connectivity\, automation\, and road safety.</p> \n<p><img src="https://events.vtools.ieee.org/vtools_ui/media/display/6351 880f-985c-42a2-84e5-c30888791b1b" alt="" width="428" height="321"><img src ="https://events.vtools.ieee.org/vtools_ui/media/display/fdb72ee0-f04f-474 5-9950-da347038741b" alt="" width="431" height="323"></p>\n<p><img src="ht tps://events.vtools.ieee.org/vtools_ui/media/display/0c85573d-9aab-48d6-b0 a3-f100e67e68d9" alt="" width="432" height="324"><img src="https://events. vtools.ieee.org/vtools_ui/media/display/ce4ccb08-441b-496a-a02f-4c4299b04d 13" alt="" width="435" height="326"></p> END:VEVENT END:VCALENDAR