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Standards Association","2025-09-04T14:58:21.566Z","2025-09-04T14:58:23.567Z","2025-09-04T14:58:23.554Z","100",{"id":979,"name":980,"alternativeText":13,"caption":13,"width":981,"height":981,"formats":982,"hash":993,"ext":845,"mime":848,"size":994,"url":995,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":996,"updatedAt":996},116,"IEEESAlogovert6501 (1).jpg",650,{"small":983,"thumbnail":988},{"ext":845,"url":984,"hash":985,"mime":848,"name":986,"path":13,"size":987,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_IEEES_Alogovert6501_1_80d0098a50.jpg","small_IEEES_Alogovert6501_1_80d0098a50","small_IEEESAlogovert6501 (1).jpg",18.18,{"ext":845,"url":989,"hash":990,"mime":848,"name":991,"path":13,"size":992,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_IEEES_Alogovert6501_1_80d0098a50.jpg","thumbnail_IEEES_Alogovert6501_1_80d0098a50","thumbnail_IEEESAlogovert6501 (1).jpg",4.45,"IEEES_Alogovert6501_1_80d0098a50",24.28,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/IEEES_Alogovert6501_1_80d0098a50.jpg","2025-09-04T14:57:36.799Z",{"id":998,"variation":29,"button":999},51,[1000],{"id":368,"label":884,"size":33,"color":34,"style":13,"icon":35,"iconPosition":36,"url":1001,"newWindow":8,"downloadable":13,"shape":13},"https://standards.ieee.org/","-57",{"pagination":1004},{"page":5,"pageSize":211,"pageCount":5,"total":126},{"id":149,"heading":374,"pageHeader":1006,"sections":1007},{"id":149,"description":13,"showPageHeader":8,"backgroundColor":59,"image":13},[1008,1024,1037,1206,1211],{"id":28,"__component":1009,"componentVariation":1010,"contactsVariation":1011,"styles":13,"header":13,"sessionsGroup":1012},"content.sessions","Sessions Base","Card Contact Full",[1013],{"id":51,"groupTitle":13,"sessions":1014},[1015],{"id":51,"session":1016},{"id":44,"title":374,"teaser":55,"body":1017,"createdAt":1018,"updatedAt":1019,"publishedAt":1020,"url_path_id":1021,"contacts":1022,"url_path":1023},"\u003Ch5 class=\"h5\" style=\"text-align:justify;\">Tuesday, September 30, 2025 | 09:00 - 15:30\u003C/h5>\u003Cp style=\"text-align:justify;\">Computational road user behavior models play a key role in the evaluation of autonomous vehicles (AVs), both for establishing AV behavior benchmarks and for representing other road users in simulation-based testing. However, the development of road user models that meet the needs for AV evaluation is challenging. Road user behavior is complex and involves a wide range of aspects such as decision-making, adaptation in uncertain environments, visual behavior, attention, social interaction with other road users, and conflict- and collision avoidance responses. Due to this complexity, mechanistic road user behavior models, which explicitly represent underlying mechanisms, tend to be constrained to specific aspects of behavior and/or specific scenarios. More recently, with the advent of generative AI, data-driven road user behavior models have demonstrated remarkable abilities to learn complex behaviors in diverse scenarios from large quantities of data, especially in everyday “normal” traffic. However, it is still unclear to what extent these models can accurately capture long-tail behaviors that are not well represented in the training data, such as the emergence of critical conflicts, human responses to these, and crash outcomes. One potentially promising approach is to integrate mechanistic and data-driven models, but work of this nature is limited so far. For the abovementioned reasons, fully generalizable road user behavior models, able to account for all aspects relevant for AV evaluation, are still lacking. This workshop rests on the assumption that to fully meet the modelling needs, considerable cross-disciplinary exchange will be required. The main objective of the workshop is to facilitate such exchange, by bringing together experts on road user behavior modeling who use a variety of approaches (mechanistic, machine-learned, or combinations of both), as well as current and future users of models (especially in industry and government), to share the latest advances and to discuss open issues to be addressed.\u003C/p>\u003Cp style=\"text-align:justify;\"> \u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cstrong>List of topics\u003C/strong>\u003Cbr>Mechanistic modeling; Data-driven modeling; Combined mechanistic/data-driven modeling; Methods for validating that human models are good enough for AV testing (scenarios, datasets, metrics, crash outcome, ...); Human modeling across both routine and critical situations; Human driver models as behavioral reference models for AVs; Human virtual agents in simulated AV testing; Use of human models by different stakeholders\u003C/p>\u003Cp style=\"text-align:justify;\"> \u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cstrong>Format\u003C/strong>\u003Cbr>The workshop will be a mix of invited expert talks, panel discussions, and talks and/or posters on submitted contributions.\u003C/p>","2024-12-23T20:28:28.466Z","2025-07-22T21:07:54.571Z","2024-12-23T20:33:09.092Z","49",[],"-23",{"id":1025,"__component":1026,"componentVariation":1027,"styles":1028,"header":1031,"body":1035},71,"content.content","Content Image Left",{"id":1029,"edgeTop":58,"edgeBottom":58,"background":1030,"containerWidth":13},36,"base-50",{"id":1032,"heading":1033,"prose":55,"lead":13,"eyebrow":13,"badge":13,"componentVariation":1034,"containerWidth":13,"image":13},35,"Workshop Schedule","Heading Center",{"id":316,"title":13,"body":1036,"containerWidth":13,"buttonGroup":13,"media":13},"\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Time\u003C/th>\u003Cth>Program\u003C/th>\u003Cth>Speaker\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>09:00\u003C/td>\u003Ctd>Welcome\u003C/td>\u003Ctd> \u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>09:05\u003C/td>\u003Ctd>Invited Talk: Reference models for ADS collision avoidance evaluation: Challenges and solutions\u003C/td>\u003Ctd>Johan Engstrom (Waymo)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>09:35\u003C/td>\u003Ctd>Contributed Talk: Optimization-Based Scenario Space Sampling for Performance Boundary Estimation of Driver Reference Models\u003C/td>\u003Ctd>Jobst Beckmann (RWTH Aachen)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>09:55\u003C/td>\u003Ctd>Invited Talk: Validating Representativeness of Driver Behavior Models in the Context of Safety Assessment Scenario Generation\u003C/td>\u003Ctd>Carol Flannagan (University of Michigan)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>10:25\u003C/td>\u003Ctd>Lightning talks to introduce posters\u003C/td>\u003Ctd> \u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>10:35\u003C/td>\u003Ctd>Coffee Break & Poster Session\u003C/td>\u003Ctd> \u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>11:00\u003C/td>\u003Ctd>Invited Talk: Driving together: Understanding interactive behavior of human drivers on highways through risk-based modeling\u003C/td>\u003Ctd>Arkady Zgonnikov (TU Delft)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>11:30\u003C/td>\u003Ctd>Contributed Talk: Modeling Driving Errors Using a Human Sensorimotor Model\u003C/td>\u003Ctd>Mauro Da Lio (University of Trento)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>11:50\u003C/td>\u003Ctd>Invited Talk: Learning foundational models for behavioral agents via reinforcement learning\u003C/td>\u003Ctd>Eugene Vinitsky (New York University)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>12:20\u003C/td>\u003Ctd>Breakout Discussions\u003C/td>\u003Ctd> \u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>12:45\u003C/td>\u003Ctd>Lunch & Poster Session\u003C/td>\u003Ctd> \u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>13:45\u003C/td>\u003Ctd>Invited Talk: Closed-Loop Evaluation for End-to-End AV Policies\u003C/td>\u003Ctd>Maximilian Igl (NVIDIA)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>14:15\u003C/td>\u003Ctd>Contributed Talk: Modeling Driver Emergency Responses Using a Cognitive Behavior Model Approach\u003C/td>\u003Ctd>Christian Rössert (CogniBIT)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>14:35\u003C/td>\u003Ctd>Contributed Talk: Stochastic Cognitive Model - Modeling Gaze Behaviour for Traffic Agents Simulation\u003C/td>\u003Ctd>Manel Hammouda (BMW)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>14:55\u003C/td>\u003Ctd>Panel Discussion\u003C/td>\u003Ctd> \u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>15:30\u003C/td>\u003Ctd>End of Workshop & Networking; IAVVC Tours\u003C/td>\u003Ctd> \u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>",{"id":44,"__component":1038,"componentVariation":1039,"styles":1040,"header":13,"contactGroup":1042},"content.contacts","Contacts Flex Card Image Cover",{"id":162,"edgeTop":58,"edgeBottom":58,"background":1041,"containerWidth":13},"transparent",[1043],{"id":120,"groupTitle":1044,"contacts":1045},"Invited Speakers",[1046,1078,1122,1147,1173],{"id":238,"contact":1047},{"id":132,"name":1048,"committee":13,"position":1049,"affiliation":1050,"email":13,"biography":1051,"createdAt":1052,"updatedAt":1053,"url_path_id":1054,"contactPhoto":1055,"socialLinks":1074,"url_path":1077},"Johan Engström","Invited Speaker","Waymo","\u003Cp>Dr. Johan Engström is currently appointed as Senior Staff Research Scientist at Waymo in Mountain View, CA, leading the Human Behavior Analytics team. Prior to joining Waymo, Dr. Engström led the Human Factors and Advanced System Evaluation group in the Center for Truck and Bus Safety at Virginia Transportation Institute (VTTI), Blacksburg, VA. Before joining VTTI, Dr. Engström amassed 17 years of industrial research and development experience at Volvo Trucks, Gothenburg, Sweden, and was part-time appointed as Adjunct Professor at Chalmers University of Technology, Gothenburg, Sweden. Dr. Engström’s key research interest is the theoretical understanding and computational modeling of sentient behavior, in particular in human road users.\u003C/p>","2025-01-16T21:47:25.448Z","2025-02-04T14:45:49.147Z","61",{"id":1056,"name":1057,"alternativeText":13,"caption":13,"width":1058,"height":1058,"formats":1059,"hash":1070,"ext":565,"mime":568,"size":1071,"url":1072,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1073,"updatedAt":1073},62,"Johan Engstrom.png",600,{"small":1060,"thumbnail":1065},{"ext":565,"url":1061,"hash":1062,"mime":568,"name":1063,"path":13,"size":1064,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Johan_Engstrom_231d453296.png","small_Johan_Engstrom_231d453296","small_Johan Engstrom.png",503.56,{"ext":565,"url":1066,"hash":1067,"mime":568,"name":1068,"path":13,"size":1069,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Johan_Engstrom_231d453296.png","thumbnail_Johan_Engstrom_231d453296","thumbnail_Johan Engstrom.png",60.2,"Johan_Engstrom_231d453296",153.89,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Johan_Engstrom_231d453296.png","2025-02-04T14:45:05.108Z",[1075],{"id":857,"url":1076,"platform":49},"https://www.linkedin.com/in/johan-engstr%C3%B6m-9635261/","-32",{"id":245,"contact":1079},{"id":181,"name":1080,"committee":13,"position":1049,"affiliation":1081,"email":13,"biography":1082,"createdAt":1083,"updatedAt":1084,"url_path_id":1085,"contactPhoto":1086,"socialLinks":1118,"url_path":1121},"Carol Flannagan","University of Michigan","\u003Cp>Dr. Carol Flannagan is a Research Professor at the University of Michigan Transportation Research Institute (UMTRI) and an Affiliated Associate Professor at Chalmers University. She earned an M.A. in Statistics and a Ph.D. in Mathematical Psychology from the University of Michigan. Dr. Flannagan’s work in transportation research encompasses analysis of a wide variety of transportation-related data and development of innovative statistical methods for transportation research.\u003C/p>","2025-01-16T21:48:03.993Z","2025-02-04T14:44:19.642Z","62",{"id":960,"name":1087,"alternativeText":13,"caption":13,"width":1088,"height":1089,"formats":1090,"hash":1114,"ext":845,"mime":848,"size":1115,"url":1116,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1117,"updatedAt":1117},"Carol Flannagan.jpg",2048,1366,{"large":1091,"small":1097,"medium":1103,"thumbnail":1108},{"ext":845,"url":1092,"hash":1093,"mime":848,"name":1094,"path":13,"size":1095,"width":634,"height":1096},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/large_Carol_Flannagan_b9148dd4cf.jpg","large_Carol_Flannagan_b9148dd4cf","large_Carol Flannagan.jpg",66.05,667,{"ext":845,"url":1098,"hash":1099,"mime":848,"name":1100,"path":13,"size":1101,"width":600,"height":1102},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Carol_Flannagan_b9148dd4cf.jpg","small_Carol_Flannagan_b9148dd4cf","small_Carol Flannagan.jpg",21.11,333,{"ext":845,"url":1104,"hash":1105,"mime":848,"name":1106,"path":13,"size":1107,"width":647,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/medium_Carol_Flannagan_b9148dd4cf.jpg","medium_Carol_Flannagan_b9148dd4cf","medium_Carol Flannagan.jpg",40.84,{"ext":845,"url":1109,"hash":1110,"mime":848,"name":1111,"path":13,"size":1112,"width":1113,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Carol_Flannagan_b9148dd4cf.jpg","thumbnail_Carol_Flannagan_b9148dd4cf","thumbnail_Carol Flannagan.jpg",6.75,234,"Carol_Flannagan_b9148dd4cf",224.53,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Carol_Flannagan_b9148dd4cf.jpg","2025-02-04T14:43:56.911Z",[1119],{"id":113,"url":1120,"platform":922},"https://www.umtri.umich.edu/people/flannagan-carol/","-33",{"id":168,"contact":1123},{"id":880,"name":1124,"committee":13,"position":13,"affiliation":1125,"email":13,"biography":1126,"createdAt":1127,"updatedAt":1128,"url_path_id":1129,"contactPhoto":1130,"socialLinks":1143,"url_path":1146},"Maximilian Igl","NVIDIA","\u003Cp style=\"text-align:justify;\">Maximilian Igl is a Senior Research Scientist at NVIDIA. He obtained his PhD from the University of Oxford where he focused on improving the generalisation of Reinforcement Learning policies. In an earlier chapter of his life, he also studied Physics and Economics, and modelled surface growth phenomena.\u003C/p>\u003Cp style=\"text-align:justify;\">In his research, he is driven by the goal of discovering fundamental insights that have an immediate impact in the real world. This has led him to his current focus on accelerating the development of autonomous vehicles through enhancing the fidelity and diversity of data-driven simulations. And because rare and unusual scenarios are central to reliable autonomous driving, this means pushing the boundaries of what Machine Learning can achieve in modelling the world and human driving behaviour.\u003C/p>","2025-05-07T16:00:15.131Z","2025-05-13T17:53:13.912Z","82",{"id":1131,"name":1132,"alternativeText":13,"caption":13,"width":1133,"height":1133,"formats":1134,"hash":1140,"ext":845,"mime":848,"size":219,"url":1141,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1142,"updatedAt":1142},100,"Maximilian.jpg",270,{"thumbnail":1135},{"ext":845,"url":1136,"hash":1137,"mime":848,"name":1138,"path":13,"size":1139,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Maximilian_453c775943.jpg","thumbnail_Maximilian_453c775943","thumbnail_Maximilian.jpg",4.1,"Maximilian_453c775943","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Maximilian_453c775943.jpg","2025-05-07T15:56:16.047Z",[1144],{"id":414,"url":1145,"platform":922},"https://research.nvidia.com/labs/avg/author/maximilian-igl/ ","-48",{"id":251,"contact":1148},{"id":168,"name":1149,"committee":13,"position":1049,"affiliation":1150,"email":13,"biography":1151,"createdAt":1152,"updatedAt":1153,"url_path_id":1154,"contactPhoto":1155,"socialLinks":1169,"url_path":1172},"Eugene Vinitsky","New York University","\u003Cp>Dr. Eugene Vinitsky is an assistant professor of civil and urban engineering at NYU where he works on scaling up multi-agent reinforcement learning for the design of safe, autonomous systems. At UC Berkeley, where he was advised by Alexandre Bayen, he received his PhD in controls engineering with a specialization in reinforcement learning and received an MS and BS in physics from UC Santa Barbara and Caltech respectively. He has spent time at Tesla, Deepmind, Facebook AI Research, and was a researcher at the Apple Special Project Group before moving to NYU.\u003C/p>","2025-01-16T21:48:48.879Z","2025-02-04T14:46:44.615Z","63",{"id":1156,"name":1157,"alternativeText":13,"caption":13,"width":1158,"height":1158,"formats":1159,"hash":1165,"ext":565,"mime":568,"size":1166,"url":1167,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1168,"updatedAt":1168},63,"Eugene Vinitsky.png",250,{"thumbnail":1160},{"ext":565,"url":1161,"hash":1162,"mime":568,"name":1163,"path":13,"size":1164,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Eugene_Vinitsky_5f4760316a.png","thumbnail_Eugene_Vinitsky_5f4760316a","thumbnail_Eugene Vinitsky.png",37.95,"Eugene_Vinitsky_5f4760316a",24.72,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Eugene_Vinitsky_5f4760316a.png","2025-02-04T14:46:32.883Z",[1170],{"id":211,"url":1171,"platform":922},"https://emerge-lab.github.io/","-34",{"id":162,"contact":1174},{"id":1175,"name":1176,"committee":13,"position":13,"affiliation":1177,"email":13,"biography":1178,"createdAt":1179,"updatedAt":1180,"url_path_id":1181,"contactPhoto":1182,"socialLinks":1202,"url_path":1205},39,"Arkady Zgonnikov","TU Delft","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(34,34,34);font-family:Arial, Helvetica, sans-serif;\">Arkady Zgonnikov is an Assistant Professor in the Department of Cognitive Robotics, Delft University of Technology. Trained in applied mathematics and computer science, he began his research career in computational cognitive science, focusing on human decision making and motor behavior. His current work centers around understanding and modeling human behavior in traffic interactions and applying these insights to the development and evaluation of automated vehicles. He is also actively advancing the concept of meaningful human control over intelligent systems (with a particular focus on automated vehicles), both as a theoretical framework and as a practical principle for AI design and assessment. He serves as Director for Partnerships and Collaborations at the Centre for Meaningful Human Control, and as Co-Director of the HERALD Lab (Human-Aware Robust AI for Automated Driving).\u003C/span>\u003C/p>","2025-05-13T17:52:23.278Z","2025-09-25T13:39:39.595Z","84",{"id":1183,"name":1184,"alternativeText":13,"caption":13,"width":1185,"height":1185,"formats":1186,"hash":1197,"ext":845,"mime":848,"size":1198,"url":1199,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1200,"updatedAt":1201},107,"Arkady Zgonnikov ",602,{"small":1187,"thumbnail":1192},{"ext":845,"url":1188,"hash":1189,"mime":848,"name":1190,"path":13,"size":1191,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Zgonnikov_Arkady_upscaled_4cc75c1ec9.jpg","small_Zgonnikov_Arkady_upscaled_4cc75c1ec9","small_Zgonnikov_Arkady_upscaled.jpg",28.57,{"ext":845,"url":1193,"hash":1194,"mime":848,"name":1195,"path":13,"size":1196,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Zgonnikov_Arkady_upscaled_4cc75c1ec9.jpg","thumbnail_Zgonnikov_Arkady_upscaled_4cc75c1ec9","thumbnail_Zgonnikov_Arkady_upscaled.jpg",4.32,"Zgonnikov_Arkady_upscaled_4cc75c1ec9",38.5,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Zgonnikov_Arkady_upscaled_4cc75c1ec9.jpg","2025-07-28T19:34:35.065Z","2025-07-28T19:34:48.550Z",[1203],{"id":489,"url":1204,"platform":922},"https://www.tudelft.nl/staff/a.zgonnikov/","-50",{"id":839,"__component":1026,"componentVariation":1027,"styles":1207,"header":13,"body":1209},{"id":1208,"edgeTop":58,"edgeBottom":58,"background":1030,"containerWidth":13},37,{"id":274,"title":13,"body":1210,"containerWidth":13,"buttonGroup":13,"media":13},"\u003Ch5 class=\"h5\" style=\"text-align:justify;\">\u003Cstrong>Contributed Talks\u003C/strong>\u003C/h5>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Modeling Driving Errors Using a Human Sensorimotor Model\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Mauro Da Lio, Antonello Cherubini and Gastone Pietro Rosati Papini (University of Trento, Italy); Alice Plebe (University College London, United Kingdom (Great Britain)); Francesco Biral and Mattia Piazza (University of Trento, Italy)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Stochastic Cognitive Model - Modeling Gaze Behaviour for Traffic Agents Simulation\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Manel Hammouda, Felix Fahrenkrog and Michael Schwarzbach (BMW AG, Germany)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Modeling Driver Emergency Responses Using a Cognitive Behavior Model Approach\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Christian Rössert, Johannes Drever and Lukas Brostek (cogniBIT GmbH, Germany)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Optimization-Based Scenario Space Sampling for Performance Boundary Estimation of Driver Reference Models \u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>(Jobst Nikolaus Bertram Beckmann and Jannes Dirksen (RWTH Aachen University, Germany))\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003C/ul>\u003Ch5 class=\"h5\" style=\"text-align:justify;\">\u003Cstrong>Contributed Posters\u003C/strong>\u003C/h5>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Navigation Under Uncertainty: Trajectory Prediction and Occlusion Reasoning with Switching Dynamical Systems\u003C/strong> \u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Ran Wei, Joseph Lee, Shohei Wakayama, Alexander Tschantz, Conor Heins, Christopher Buckley, John Carenbauer, Hari Thiruvengada, Mahault Albarracin and Miguel de Prado (VERSES, USA); Petter Hoerling, Peter Winzell and Renjith Rajagopal (Volvo Cars, Sweden)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Time-Aware Goal-Conditioned Pedestrian Trajectory Prediction\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Albert Lee, Ahmed Abouelazm and Helen Gremmelmaier (FZI Research Center for Information Technology, Germany); J. Marius Zöllner (Karlsruhe Institute of Technology (KIT), Germany)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Human Driver Behavior Modeling (CMV vs. LMV): Insights for Autonomous Vehicle Design and Evaluation\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Ali Khanpour (University of Texas at Austin, USA); Christian Claudel (University of Texas at Austin, France)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Socially-Aware Autonomous Vehicles Using Model Predictive Controller as Iterated-Best Response Decision-Making\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Balint Varga (Karlsruher Institut für Technologie, Germany); Bogdan Havjar (Karlsruhe Institute of Technology, Germany); Dénes Fodor (University of Pannonia, Hungary)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Evaluating Human-like Pedestrian Models for Simulated Testing of Automated Vehicles\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Yueyang Wang and Gustav Markkula (University of Leeds, United Kingdom (Great Britain))\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cstrong>Assessing the Driving Competency of Automated Driving Systems: a Methodological Framework for Evaluation\u003C/strong>\u003Cul>\u003Cli style=\"text-align:justify;\">\u003Ci>Hari Hara Sharan Nagalur Subraveti and Geert Verhaeg (TNO, The Netherlands)\u003C/i>\u003C/li>\u003C/ul>\u003C/li>\u003C/ul>",{"id":28,"__component":1038,"componentVariation":1039,"styles":1212,"header":13,"contactGroup":1213},{"id":526,"edgeTop":58,"edgeBottom":58,"background":1041,"containerWidth":13},[1214],{"id":94,"groupTitle":103,"contacts":1215},[1216,1255,1283,1311,1339,1372],{"id":526,"contact":1217},{"id":251,"name":1218,"committee":13,"position":1219,"affiliation":1220,"email":13,"biography":55,"createdAt":1221,"updatedAt":1222,"url_path_id":1223,"contactPhoto":1224,"socialLinks":1253,"url_path":1254},"Gustav Markkula","ORGANIZER","University of Leeds","2024-12-23T20:28:55.893Z","2025-02-04T14:25:04.364Z","50",{"id":1225,"name":1226,"alternativeText":13,"caption":13,"width":1227,"height":1227,"formats":1228,"hash":1249,"ext":845,"mime":848,"size":1250,"url":1251,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1252,"updatedAt":1252},59,"Gustav Markkula (1).jpg",1856,{"large":1229,"small":1234,"medium":1239,"thumbnail":1244},{"ext":845,"url":1230,"hash":1231,"mime":848,"name":1232,"path":13,"size":1233,"width":634,"height":634},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/large_Gustav_Markkula_1_64f1a97863.jpg","large_Gustav_Markkula_1_64f1a97863","large_Gustav Markkula (1).jpg",139.2,{"ext":845,"url":1235,"hash":1236,"mime":848,"name":1237,"path":13,"size":1238,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Gustav_Markkula_1_64f1a97863.jpg","small_Gustav_Markkula_1_64f1a97863","small_Gustav Markkula (1).jpg",36.72,{"ext":845,"url":1240,"hash":1241,"mime":848,"name":1242,"path":13,"size":1243,"width":647,"height":647},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/medium_Gustav_Markkula_1_64f1a97863.jpg","medium_Gustav_Markkula_1_64f1a97863","medium_Gustav Markkula (1).jpg",80.4,{"ext":845,"url":1245,"hash":1246,"mime":848,"name":1247,"path":13,"size":1248,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Gustav_Markkula_1_64f1a97863.jpg","thumbnail_Gustav_Markkula_1_64f1a97863","thumbnail_Gustav Markkula (1).jpg",4.79,"Gustav_Markkula_1_64f1a97863",422.22,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Gustav_Markkula_1_64f1a97863.jpg","2025-02-04T14:25:01.481Z",[],"-24",{"id":287,"contact":1256},{"id":81,"name":1257,"committee":13,"position":1219,"affiliation":1258,"email":13,"biography":55,"createdAt":1259,"updatedAt":1260,"url_path_id":1261,"contactPhoto":1262,"socialLinks":1281,"url_path":1282},"Jonas Bärgman","Chalmers University of Technology","2024-12-23T20:29:17.511Z","2025-07-28T20:01:53.511Z","51",{"id":1263,"name":1264,"alternativeText":13,"caption":13,"width":1265,"height":1265,"formats":1266,"hash":1277,"ext":565,"mime":568,"size":1278,"url":1279,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1280,"updatedAt":1280},110,"Jonas_B.png",668,{"small":1267,"thumbnail":1272},{"ext":565,"url":1268,"hash":1269,"mime":568,"name":1270,"path":13,"size":1271,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Jonas_B_c1e2547f6f.png","small_Jonas_B_c1e2547f6f","small_Jonas_B.png",648.54,{"ext":565,"url":1273,"hash":1274,"mime":568,"name":1275,"path":13,"size":1276,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Jonas_B_c1e2547f6f.png","thumbnail_Jonas_B_c1e2547f6f","thumbnail_Jonas_B.png",63.5,"Jonas_B_c1e2547f6f",322.99,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Jonas_B_c1e2547f6f.png","2025-07-28T20:01:50.873Z",[],"-25",{"id":1032,"contact":1284},{"id":857,"name":1285,"committee":13,"position":1219,"affiliation":1286,"email":13,"biography":55,"createdAt":1287,"updatedAt":1288,"url_path_id":1289,"contactPhoto":1290,"socialLinks":1309,"url_path":1310},"Shu-Yuan (Shuyuan) Liu","Waymo LLC","2024-12-23T20:29:36.929Z","2025-07-28T19:54:55.167Z","52",{"id":1291,"name":1292,"alternativeText":13,"caption":13,"width":1293,"height":1293,"formats":1294,"hash":1305,"ext":565,"mime":568,"size":1306,"url":1307,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1308,"updatedAt":1308},108,"Shuyuan_Liu.png",532,{"small":1295,"thumbnail":1300},{"ext":565,"url":1296,"hash":1297,"mime":568,"name":1298,"path":13,"size":1299,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Shuyuan_Liu_9aade0ca2c.png","small_Shuyuan_Liu_9aade0ca2c","small_Shuyuan_Liu.png",327.37,{"ext":565,"url":1301,"hash":1302,"mime":568,"name":1303,"path":13,"size":1304,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Shuyuan_Liu_9aade0ca2c.png","thumbnail_Shuyuan_Liu_9aade0ca2c","thumbnail_Shuyuan_Liu.png",37.99,"Shuyuan_Liu_9aade0ca2c",91.48,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Shuyuan_Liu_9aade0ca2c.png","2025-07-28T19:54:50.012Z",[],"-26",{"id":1029,"contact":1312},{"id":113,"name":1313,"committee":13,"position":1219,"affiliation":1314,"email":13,"biography":55,"createdAt":1315,"updatedAt":1316,"url_path_id":1317,"contactPhoto":1318,"socialLinks":1337,"url_path":1338},"Ran Wei","Verses","2024-12-23T20:29:53.308Z","2025-07-28T19:58:17.381Z","53",{"id":1319,"name":1320,"alternativeText":13,"caption":13,"width":1321,"height":1321,"formats":1322,"hash":1333,"ext":565,"mime":568,"size":1334,"url":1335,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1336,"updatedAt":1336},109,"Wei_Ran_enhanced.png",676,{"small":1323,"thumbnail":1328},{"ext":565,"url":1324,"hash":1325,"mime":568,"name":1326,"path":13,"size":1327,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Wei_Ran_enhanced_60c2a5d84b.png","small_Wei_Ran_enhanced_60c2a5d84b","small_Wei_Ran_enhanced.png",457.78,{"ext":565,"url":1329,"hash":1330,"mime":568,"name":1331,"path":13,"size":1332,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Wei_Ran_enhanced_60c2a5d84b.png","thumbnail_Wei_Ran_enhanced_60c2a5d84b","thumbnail_Wei_Ran_enhanced.png",53.25,"Wei_Ran_enhanced_60c2a5d84b",195.94,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Wei_Ran_enhanced_60c2a5d84b.png","2025-07-28T19:58:14.561Z",[],"-27",{"id":1208,"contact":1340},{"id":211,"name":1341,"committee":13,"position":1219,"affiliation":1150,"email":13,"biography":55,"createdAt":1342,"updatedAt":1343,"url_path_id":1344,"contactPhoto":1345,"socialLinks":1370,"url_path":1371},"Daphne Cornelisse","2024-12-23T20:30:07.979Z","2025-02-04T14:24:44.873Z","54",{"id":1346,"name":1347,"alternativeText":13,"caption":13,"width":1348,"height":1348,"formats":1349,"hash":1366,"ext":1351,"mime":848,"size":1367,"url":1368,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1369,"updatedAt":1369},58,"Daphne_Cornelisse.JPG",768,{"small":1350,"medium":1356,"thumbnail":1361},{"ext":1351,"url":1352,"hash":1353,"mime":848,"name":1354,"path":13,"size":1355,"width":600,"height":600},".JPG","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Daphne_Cornelisse_fa6cc09523.JPG","small_Daphne_Cornelisse_fa6cc09523","small_Daphne_Cornelisse.JPG",43.66,{"ext":1351,"url":1357,"hash":1358,"mime":848,"name":1359,"path":13,"size":1360,"width":647,"height":647},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/medium_Daphne_Cornelisse_fa6cc09523.JPG","medium_Daphne_Cornelisse_fa6cc09523","medium_Daphne_Cornelisse.JPG",84.99,{"ext":1351,"url":1362,"hash":1363,"mime":848,"name":1364,"path":13,"size":1365,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Daphne_Cornelisse_fa6cc09523.JPG","thumbnail_Daphne_Cornelisse_fa6cc09523","thumbnail_Daphne_Cornelisse.JPG",5.67,"Daphne_Cornelisse_fa6cc09523",78.69,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/Daphne_Cornelisse_fa6cc09523.JPG","2025-02-04T14:24:34.609Z",[],"-28",{"id":880,"contact":1373},{"id":310,"name":1374,"committee":13,"position":1219,"affiliation":1375,"email":13,"biography":55,"createdAt":1376,"updatedAt":1377,"url_path_id":1378,"contactPhoto":1379,"socialLinks":1398,"url_path":1399},"Julian Schumann","Delft Technical University","2024-12-23T20:30:21.067Z","2025-07-28T20:06:31.757Z","55",{"id":1380,"name":1381,"alternativeText":13,"caption":13,"width":1382,"height":1382,"formats":1383,"hash":1394,"ext":565,"mime":568,"size":1395,"url":1396,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1397,"updatedAt":1397},111,"Julian Schumann.png",684,{"small":1384,"thumbnail":1389},{"ext":565,"url":1385,"hash":1386,"mime":568,"name":1387,"path":13,"size":1388,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_Julian_Schumann_5fe46c6080.png","small_Julian_Schumann_5fe46c6080","small_Julian Schumann.png",286.45,{"ext":565,"url":1390,"hash":1391,"mime":568,"name":1392,"path":13,"size":1393,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_Julian_Schumann_5fe46c6080.png","thumbnail_Julian_Schumann_5fe46c6080","thumbnail_Julian 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