@inproceedings{DenkHimmelsAndreevetal.2024, author = {Denk, Florian and Himmels, Chantal and Andreev, Vladislav and Lindner, Johannes and Syed, Arslan Ali and Riener, Andreas and Huber, Werner and Kates, Ronald}, title = {Studying Interactions of Motorists and Vulnerable Road Users: Empirical Comparison of Test Track and Simulator Experiments}, booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-9946-2}, doi = {https://doi.org/10.1109/ITSC57777.2023.10421865}, pages = {992 -- 999}, year = {2024}, language = {en} } @inproceedings{DenkHuberBrunneretal.2020, author = {Denk, Florian and Huber, Werner and Brunner, Pascal and Kates, Ronald}, title = {The role of perceptual failure and degrading processes in urban traffic accidents}, booktitle = {2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)}, subtitle = {a stochastic computational model for virtual experiments}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-4149-7}, doi = {https://doi.org/10.1109/ITSC45102.2020.9294498}, year = {2020}, abstract = {Automated driving functions (ADF) are considered as a potential solver of current problems in road traffic regarding safety, efficiency and comfort. However, testing ADF by naturalistic driving in the real world is subject to technical and ethical constraints. Virtual randomized controlled trial designs potentially contribute to bypass these limitations. For this purpose, real traffic is replaced by simulated traffic, constituting the "reference" in analogy to randomized controlled trials in medicine. Specific realizations of ADF can then be integrated into the simulated traffic as a "treatment" to evaluate their efficacy. A key challenge is modelling current manual traffic, taking into account stochastic variations in the cognitive and kinematic behavior of both drivers and vulnerable road users (VRU) such as pedestrians, cyclists, or e-scooter riders. Odd sample combinations of the underlying distributions can lead to accident risk and therefore have to be modeled realistically to generate validated efficacy estimates. In particular perceptual failures and degrading of perceived stimuli are regarded causal factors for failures in traffic, which is in general remarkably safe due to multiple redundancies. Therefore a model of human information acquisition constitutes an essential ingredient to our assessment paradigm. However, complex cognitive processes play a key role, which are themselves still under scientific investigation. What we do know is that inherent limited processing abilities of humans contribute to failures in the otherwise remarkably safe traffic flow process, especially in urban areas where cognitive demand is high. We therefore restrict ourselves to model the failure and degrading processes which ultimately lead to accident risk. The computational model we propose takes the limited processing capacity of humans into account and is suitable for the stochastic simulation of traffic scenarios.}, language = {en} } @inproceedings{BrunnerLoeckenDenketal.2020, author = {Brunner, Pascal and L{\"o}cken, Andreas and Denk, Florian and Kates, Ronald and Huber, Werner}, title = {Analysis of experimental data on dynamics and behavior of e-scooter riders and applications to the impact of automated driving functions on urban road safety}, booktitle = {2020 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-6673-5}, issn = {2642-7214}, doi = {https://doi.org/10.1109/IV47402.2020.9304835}, pages = {219 -- 225}, year = {2020}, language = {en} } @inproceedings{BrunnerDenkHuberetal.2019, author = {Brunner, Pascal and Denk, Florian and Huber, Werner and Kates, Ronald}, title = {Virtual safety performance assessment for automated driving in complex urban traffic scenarios}, booktitle = {2019 IEEE Intelligent Transportation Systems Conference (ITSC)}, publisher = {IEEE}, address = {Piscataway (NJ)}, isbn = {978-1-5386-7024-8}, doi = {https://doi.org/10.1109/ITSC.2019.8917517}, pages = {679 -- 685}, year = {2019}, language = {en} } @inproceedings{LoeckenBrunnerKatesetal.2020, author = {L{\"o}cken, Andreas and Brunner, Pascal and Kates, Ronald and Riener, Andreas}, title = {Impact of Hand Signals on Safety: Two Controlled Studies With Novice E-Scooter Riders}, booktitle = {Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8065-2}, doi = {https://doi.org/10.1145/3409120.3410641}, pages = {132 -- 140}, year = {2020}, language = {en} } @inproceedings{DenkBrunnerHuberetal.2022, author = {Denk, Florian and Brunner, Pascal and Huber, Werner and Margreiter, Martin and Bogenberger, Klaus and Kates, Ronald}, title = {Assessment of traffic safety interventions using virtual randomized controlled trials: potential of connected and automated driving including V2X for collision reduction at urban intersections}, booktitle = {2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-6880-0}, doi = {https://doi.org/10.1109/ITSC55140.2022.9921764}, pages = {1183 -- 1190}, year = {2022}, language = {en} } @inproceedings{DenkFroehlingBrunneretal.2023, author = {Denk, Florian and Fr{\"o}hling, Felix and Brunner, Pascal and Huber, Werner and Margreiter, Martin and Bogenberger, Klaus and Kates, Ronald}, title = {Design of an Experiment to Pinpoint Cognitive Failure Processes in the Interaction of Motorists and Vulnerable Road Users}, booktitle = {IEEE IV 2023: Symposium Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-4691-6}, doi = {https://doi.org/10.1109/IV55152.2023.10186550}, year = {2023}, language = {en} }