BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT DTSTART:20250330T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250422T075828Z UID:46B20338-AC6B-44E0-8F03-469E23E7DE2A DTSTART;TZID=Europe/Berlin:20250415T170000 DTEND;TZID=Europe/Berlin:20250415T180000 DESCRIPTION:Join us\, Tuesday\, 15th of April\, 2025\, at 17:00 PM CET for an exciting virtual talk by Prof. Meng Wang on the topic "Stochastic Model ling of Risk and Perceived Safety for Automated Driving".\n\nThis talk is part of the ITSS Distinguished Lecture Series (DLS)\, organized by the [IT SS Germany Chapter](https://ieee-itss-germany.org/) and technically co-spo nsored by [TU Dresden](https://tu-dresden.de/).\n\n[]\n\nAbstract:\n\nQuan tifying objective risk and user-perceived safety of vehicle automation is crucial in advancing the deployment of automated vehicles\, especially whe n interacting with other road users. In this lecture\, we reflect on the c oncept of risk and introduce computational models that capture the objecti ve risk and the user-perceived safety of automated vehicles in the presenc e of high-speed vehicle-vehicle interactions. While these models have diff erent applications\, they share the same root and reveal the two-dimension al nature of driving risk and the importance of manoeuvre uncertainties in the resulting risk level. Hard-braking and merging events are used to ill ustrate the predictive power of the models. The lecture concludes with ope n questions in this research line.\n\nBiosketch:\n\nProf. Meng Wang receiv ed his PhD from TU Delft in 2014. He worked as a PostDoc Researcher (2014- 2015) at the Faculty of Mechanical Engineering\, TU Delft\, and as an Assi stant Professor (2015-2021) at the Department of Transport and Planning\, TU Delft. Since 2021\, he has been a Full Professor and Head of the Chair of Traffic Process Automation\, “Friedrich List” Faculty of Transport and Traffic Sciences\, TU Dresden. His main research interests are traffic flow modelling and simulation\, control design and impact assessment of c onnected and automated vehicle systems. He is a Senior Member of IEEE and a member of the TRB Standing Committee on Vehicle Highway Automation. His research has been supported by the European Commission\, German Research F oundation\, German Ministry of Transport and Digitals\, and Dutch Ministry of Infrastructure and Water Management.\n\nCo-sponsored by: TU Dresden\n\ nVirtual: https://events.vtools.ieee.org/m/477895 LOCATION:Virtual: https://events.vtools.ieee.org/m/477895 ORGANIZER:daniel.medina@ieee.org SEQUENCE:1 SUMMARY:ITSS DLS Webinar - 15 April 2025 -- Stochastic Modelling of Risk an d Perceived Safety for Automated Driving URL;VALUE=URI:https://events.vtools.ieee.org/m/477895 X-ALT-DESC:Description: <br /><p><span style="font-size: 12pt\;">Join us\, <strong>Tuesday\, 15th of April\, 2025\, at 17:00 PM CET</strong> for an e xciting virtual talk by <strong>Prof. Meng Wang</strong> on the topic "<st rong>Stochastic Modelling of Risk and Perceived Safety for Automated Drivi ng</strong>".</span></p>\n<p><span style="font-size: 12pt\;">This talk is part of the ITSS Distinguished Lecture Series (DLS)\, organized by the <a href="https://ieee-itss-germany.org/" target="_blank" rel="noopener">ITSS Germany Chapter</a> and technically co-sponsored by <a href="https://tu-dr esden.de/" target="_blank" rel="noopener">TU Dresden</a>.</span></p>\n<p>< img src="https://events.vtools.ieee.org/vtools_ui/media/display/83e0f9f9-9 148-4d28-9843-9731baa4681d" alt="" width="886" height="498"></p>\n<p><span style="font-size: 12pt\;"><strong>Abstract:&nbsp\;</strong></span></p>\n< p style="text-align: justify\;">Quantifying objective risk and user-percei ved safety of vehicle automation is crucial in advancing the deployment of automated vehicles\, especially when interacting with other road users. I n this lecture\, we reflect on the concept of risk and introduce computati onal models that capture the objective risk and the user-perceived safety of automated vehicles in the presence of high-speed vehicle-vehicle intera ctions. While these models have different applications\, they share the sa me root and reveal the two-dimensional nature of driving risk and the impo rtance of manoeuvre uncertainties in the resulting risk level. Hard-brakin g and merging events are used to illustrate the predictive power of the mo dels. The lecture concludes with open questions in this research line.</p> \n<p>&nbsp\;</p>\n<p><strong><span style="font-size: 12pt\;">Biosketch:</s pan></strong></p>\n<p style="text-align: justify\;"><strong>Prof. Meng Wan g</strong> received his PhD from TU Delft in 2014. He worked as a PostDoc Researcher (2014-2015) at the Faculty of Mechanical Engineering\, TU Delft \, and as an Assistant Professor (2015-2021) at the Department of Transpor t and Planning\, TU Delft. Since 2021\, he has been a Full Professor and H ead of the Chair of Traffic Process Automation\, &ldquo\;Friedrich List&rd quo\; Faculty of Transport and Traffic Sciences\, TU Dresden. His main res earch interests are traffic flow modelling and simulation\, control design and impact assessment of connected and automated vehicle systems. He is a Senior Member of IEEE &nbsp\;and a member of the TRB Standing Committee o n Vehicle Highway Automation. His research has been supported by the Europ ean Commission\, German Research Foundation\, German Ministry of Transport and Digitals\, and Dutch Ministry of Infrastructure and Water Management. </p> END:VEVENT END:VCALENDAR