TY - JOUR A1 - Kotak, Bhavya A1 - Kotak, Yash A1 - Brade, Katja A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Battery Crush Test Procedures in Standards and Regulation: Need for Augmentation and Harmonisation JF - Batteries N2 - Battery safety is a prominent concern for the deployment of electric vehicles (EVs). The battery powering an EV contains highly energetic active materials and flammable organic electrolytes. Usually, an EV battery catches fire due to its thermal runaway, either immediately at the time of the accident or can take a while to gain enough heat to ignite the battery chemicals. There are numerous battery abuse testing standards and regulations available globally. Therefore, battery manufacturers are always in dilemma to choose the safest one. Henceforth, to find the optimal outcome of these two major issues, six standards (SAE J2464:2009, GB/T 31485-2015:2015, FreedomCAR:2006, ISO 12405-3:2014, IEC 62660-2:2010, and SAND2017-6295:2017) and two regulations (UN/ECE-R100.02:2013 and GTR 20:2018), that are followed by more than fifty countries in the world, are investigated in terms of their abuse battery testing conditions (crush test). This research proves that there is a need for (a) augmenting these standards and regulations as they do not consider real-life vehicle crash scenarios, and (b) one harmonised framework should be developed, which can be adopted worldwide. These outcomes will solve the battery manufacturers dilemma and will also increase the safety of EV consumers. UR - https://doi.org/10.3390/batteries7030063 KW - lithium-ion battery KW - electric vehicle battery KW - battery standard KW - battery regulation KW - battery testing standard KW - battery testing regulation KW - abuse testing KW - harmonising battery standard KW - crush test procedure KW - battery incidents KW - battery standard and regulation augmentation Y1 - 2021 UR - https://doi.org/10.3390/batteries7030063 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-11083 SN - 2313-0105 VL - 7 IS - 3 PB - MDPI CY - Basel ER - TY - JOUR A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Paula, Daniel A1 - Schweiger, Hans-Georg T1 - New developments on EDR (Event Data Recorder) for automated vehicles JF - Open Engineering N2 - With the upcoming new legislative rules in the EU on Event Data Recorder beginning 2022 the question is whether the discussed data base is sufficient for the needs of clarifying accidents involving automated vehicles. Based on the reconstruction of real accidents including vehicles with ADAS combined with specially designed crash tests a broader data base than US EDR regulation (NHTSA 49 CFR Part 563.7) is proposed. The working group AHEAD, to which the authors contribute, has already elaborated a data model that fits the needs of automated driving. The structure of this data model is shown. Moreover, the special benefits of storing internal video or photo feeds form the vehicle camera systems combined with object data is illustrated. When using a sophisticate 3D measurement method of the accident scene the videos or photos can also serve as a control instance for the stored vehicle data. The AHEAD Data Model enhanced with the storage of the video and photo feeds should be considered in the planned roadmap of the Informal Working Group (IWG) on EDR/ DSSAD (Data Storage System for Automated Driving) reporting to UNECE WP29. Also, a data access over the air using technology already applied in China for electric vehicles called Real Time Monitoring would allow a quantum leap in forensic accident reconstruction. UR - https://doi.org/10.1515/eng-2020-0007 KW - Event Data Recorder (EDR) KW - automated vehicles KW - video and photo feeds KW - Real Time Monitoring (RTM) KW - AHEAD (Aggregated Homologation proposal for Event data recorder for Automated Driving) Y1 - 2020 UR - https://doi.org/10.1515/eng-2020-0007 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9263 SN - 2391-5439 VL - 10 IS - 1 SP - 140 EP - 146 PB - De Gruyter CY - Berlin ER - TY - INPR A1 - Paula, Daniel A1 - Bauder, Maximilian A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Böhm, Klaus A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior N2 - Partially automated driving functions (SAE Level 2) can control a vehicle's longitudinal and lateral movements. However, taking over the driving task involves automation risks that the driver must manage. In severe accidents, the driver's ability to avoid a collision must be assessed, considering their expected reaction behavior. The primary goal of this study is to generate essential data on driver reaction behavior in case of malfunctions in partially automated driving functions for use in legal affairs. A simulator study with two scenarios involving 32 subjects was conducted for this purpose. The first scenario investigated driver reactions to system limitations during cornering. The second scenario examined driver responses to phantom braking caused by the AEBS. As a result, the first scenario shows that none of the subjects could control the situation safely. Due to partial automation, we could also identify a new part of the reaction time, the hands-on time, which leads to increased steering reaction times of 1.18 to 1.74 seconds. In the second scenario, we found that 25 of the 32 subjects could not override the phantom braking by pressing the accelerator pedal, although 16 subjects were informed about the system analog to the actual vehicle manuals. Overall, the study suggests that the current legal perspective on vehicle control and the expected driver reaction behavior for accident avoidance should be reconsidered. UR - https://doi.org/10.20944/preprints202311.0947.v1 Y1 - 2023 UR - https://doi.org/10.20944/preprints202311.0947.v1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-42173 PB - Preprints CY - Basel ER - TY - JOUR A1 - Bauder, Maximilian A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Cooperative Awareness Messages’ Generation Frequencies, Trigger Distributions, and Pseudonym Changes of First Commercially Deployed Vehicles in Real Operating Scenarios JF - IEEE Access N2 - Cooperative Intelligent Transport Systems have been deployed in mass-produced vehicles in Europe (Golf 8, ID.3, etc.) since 2019, promising major improvements in vehicle safety, efficiency, and comfort. Equipped with Vehicle-to-X communication, the vehicles directly send information about their driving status to the environment. The data are already used for many Vehicle-to-X communication use-cases specified by the Car-2-Car Communication Consortium to achieve the above-mentioned improvements. This study focuses on using Vehicle-2-X communication and its messages for accident analysis. For this purpose, we investigated the advantage in temporal resolution of the continuously sent Cooperative Awareness Message compared to the Event-Data-Recorder for accident reconstruction in the pre-crash. A high resolution of the temporal accident scene is essential for the doubtless clarification of accidents. Therefore, we analyzed the generation frequencies and the trigger conditions of the Cooperative Awareness Message of vehicles available on the European market while driving in real traffic and during different parking maneuvers. Also, the pseudonym change was analyzed. We found that the average generation frequency of the Cooperative Awareness Message is higher than the 2.00 Hz recording frequency of the event data recorder for all scenarios investigated. Especially on rural roads and highways, the temporal resolution is advantageous. Since many serious accidents occur on rural roads, the use of Cooperative Awareness Messages could significantly benefit the reconstruction of the accident scene. Thus, we recommend increasing efforts to use the Cooperative Awareness Message as digital data for accident analysis and encourage more scientists to deal with this topic. UR - https://doi.org/10.1109/ACCESS.2023.3292576 KW - Accident analysis KW - accident reconstruction KW - cooperative awareness message KW - cooperative intelligent transport systems KW - fundamental data KW - real operating investigation KW - vehicle-2-X communication Y1 - 2023 UR - https://doi.org/10.1109/ACCESS.2023.3292576 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-38543 SN - 2169-3536 VL - 11 SP - 69708 EP - 69719 PB - IEEE CY - New York ER - TY - CHAP A1 - Paula, Daniel A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Challenges in forensic reconstruction of traffic accidents involving Advanced Driver Assistance Systems (ADAS) T2 - Proceedings of the 29th Annual Congress of the EVU Y1 - 2021 PB - EVU CY - Berlin ER - TY - JOUR A1 - Bauder, Maximilian A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Wech, Lothar A1 - Schweiger, Hans-Georg T1 - C-ITS relevant critical vehicle-to-vehicle accident scenarios for accident analysis JF - Sensors N2 - The relevance of scientific investigations, whether simulative or empirical, is strongly related to the environment used and the scenarios associated with it. Within the field of cooperative intelligent transport systems, use-cases are defined to describe the benefits of applications. This has already been conducted in the available safety-relevant Day 1 applications longitudinal and intersection collision risk warning through the respective technical specifications. However, the relevance of traffic scenarios is always a function of accident severity and frequency of a retrospective consideration of accident databases. In this study, vehicle-to-vehicle scenarios with high frequency and/or severe personal injuries are therefore determined with the help of the CISS database and linked to the use-cases of the safety-relevant Day 1 applications. The relevance of the scenarios thus results on the one hand from the classical parameters of retrospective accident analysis and on the other hand from the coverage by the named vehicle-to-x applications. As a result, accident scenarios with oncoming vehicles are the most relevant scenarios for investigations with cooperative intelligent transport systems. In addition, high coverage of the most critical scenarios within the use-cases of longitudinal and intersection collision risk warning is already apparent. UR - https://doi.org/10.3390/s22093562 KW - cooperative intelligent transportation systems KW - C-ITS KW - V2X KW - accident scenarios KW - accident analysis KW - accident database Y1 - 2022 UR - https://doi.org/10.3390/s22093562 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-23473 SN - 1424-8220 N1 - This article belongs to the Special Issue "Sensors and Systems for Automotive and Road Safety" VL - 22 IS - 9 PB - MDPI CY - Basel ER - TY - JOUR A1 - Bauder, Maximilian A1 - Kubjatko, Tibor A1 - Helmer, Thomas A1 - Schweiger, Hans-Georg T1 - Does Vehicle-2-X Radio Transmission Technology Need to Be Considered within Accident Analysis in the Future? JF - Sensors N2 - In this analysis, Cooperative Intelligent Transportation System relevant scenarios are created to investigate the need to differentiate Vehicle-to-X transmission technologies on behalf of accident analysis. For each scenario, the distances between the vehicles are calculated 5 s before the crash. Studies on the difference between Dedicated Short-Range Communication (IEEE 802.11p) and Cellular Vehicle-to-X communication (LTE-V2C PC5 Mode 4) are then used to assess whether both technologies have a reliable connection over the relevant distance. If this is the case, the transmission technology is of secondary importance for future investigations on Vehicle-to-X communication in combination with accident analysis. The results show that studies on freeways and rural roads can be carried out independently of the transmission technology and other boundary conditions (speed, traffic density, non-line of sight/line of sight). The situation is different for studies in urban areas, where both technologies may not have a sufficiently reliable connection range depending on the traffic density. UR - https://doi.org/10.3390/s22249832 KW - cooperative intelligent transportation systems KW - C-ITS KW - C-V2X KW - LTE-V2X KW - DSRC KW - IEEE 802.11p KW - accident scenarios KW - accident analysis KW - accident reconstruction Y1 - 2022 UR - https://doi.org/10.3390/s22249832 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-29954 SN - 1424-8220 VL - 22 IS - 24 PB - MDPI CY - Basel ER - TY - CHAP A1 - Paula, Daniel A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Autonomous Emergency Braking (AEB) Experiments for Traffic Accident Reconstruction T2 - Transport Means 2021: Proceedings of the 25th International Scientific Conference - Part I KW - Autonomous Emergency Braking (AEB) KW - Instrument Cluster KW - Event Data Recorder (EDR) Y1 - 2021 UR - https://transportmeans.ktu.edu/transport-means-2021/ SN - 2351-7034 SN - 1822-296X SP - 108 EP - 112 PB - Kaunas University of Technology CY - Kaunas ER - TY - JOUR A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Influences of Vehicle Communication on Human Driving Reactions: A Simulator Study on Reaction Times and Behavior for Forensic Accident Analysis JF - Sensors N2 - Cooperative intelligent transport systems (C-ITSs) are mass-produced and sold in Europe, promising enhanced safety and comfort. Direct vehicle communication, known as vehicle-to-everything (V2X) communication, is crucial in this context. Drivers receive warnings about potential hazards by exchanging vehicle status and environmental data with other communication-enabled vehicles. However, the impact of these warnings on drivers and their inclusion in accident reconstruction remains uncertain. Unlike sensor-based warnings, V2X warnings may not provide a visible reason for the alert, potentially affecting reaction times and behavior. In this work, a simulator study on V2X warnings was conducted with 32 participants to generate findings on reaction times and behavior for accident reconstruction in connection with these systems. Two scenarios from the Car-2-Car Communication Consortium were implemented: “Stationary Vehicle Warning—Broken-Down Vehicle” and “Dangerous Situation—Electronic Emergency Brake Lights”. Volkswagen’s warning concept was utilized, as they are the sole provider of cooperative vehicles in Europe. Results show that V2X warnings without visible reasons did not negatively impact reaction times or behavior, with average reaction times between 0.58 s (steering) and 0.69 s (braking). No significant distraction or search for warning reasons was observed. However, additional information in the warnings caused confusion and was seldom noticed by subjects. In this study, participants responded correctly and appropriately to the shown false-positive warnings. A wrong reaction triggering an accident is possible but unlikely. Overall, V2X warnings showed no negative impacts compared with sensor-based systems. This means that there are no differences in accident reconstruction regarding the source of the warning (sensors or communication). However, it is important that it is known that there was a warning, which is why the occurrence of V2X warnings should also be saved in the EDR in the future. UR - https://doi.org/10.3390/s24144481 Y1 - 2024 UR - https://doi.org/10.3390/s24144481 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48982 SN - 1424-8220 VL - 24 IS - 14 PB - MDPI CY - Basel ER - TY - JOUR A1 - Bauder, Maximilian A1 - Festag, Andreas A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Data accuracy in Vehicle-to-X cooperative awareness messages: An experimental study for the first commercial deployment of C-ITS in Europe JF - Vehicular Communications N2 - Cooperative Intelligent Transportation Systems have achieved a mature technology stage and are in an early phase of mass deployment in Europe. Relying on Vehicle-to-X communication, these systems were primarily developed to improve traffic safety, efficiency, and driving comfort. However, they also offer great opportunities for other use cases. One of them is forensic accident analysis, where the received data provide details about the status of other traffic participants, give insights into the accident scenario, and therefore help in understanding accident causes. A high accuracy of the sent information is essential: For safety use cases, such as traffic jam warning, a poor accuracy of the data may result in wrong driver information, undermine the usability of the system and even create new safety risks. For accident analysis, a low accuracy may prevent the correct reconstruction of an accident. This paper presents an experimental study of the first generation of Cooperative Intelligent Transportation Systems in Europe. The results indicate a high accuracy for most of the data fields in the Vehicle-to-X messages, namely speed, acceleration, heading and yaw rate information, which meet the accuracy requirements for safety use cases and accident analysis. In contrast, the position data, which are also carried in the messages, have larger errors. Specifically, we observed that the lateral position still has an acceptable accuracy. The error of the longitudinal position is larger and may compromise safety use cases with high accuracy requirements. Even with limited accuracy, the data provide a high value for the accident analysis. Since we also found that the accuracy of the data increases for newer vehicle models, we presume that Vehicle-to-X data have the potential for exact accident reconstruction. UR - https://doi.org/10.1016/j.vehcom.2024.100744 Y1 - 2024 UR - https://doi.org/10.1016/j.vehcom.2024.100744 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48060 SN - 2214-2096 VL - 2024 IS - 47 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Fehringer, Thomas A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Performance of Automatic Speed Sign Recognition and Adaptive Speed Adjustment of Real Vehicles on German Roads T2 - Proceedings of the 31st Annual Congress of the EVU KW - Accident Analysis; Accident Reconstruction; Traffic Sign Recognition; Intelligent Adaptive Cruise Control; Real Operating Investigation; Fundamental Data Y1 - 2023 SP - 242 EP - 252 PB - EVU CY - Berlin ER - TY - CHAP A1 - Bauder, Maximilian A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Development of an Accident Reconstruction Method Using Cooperative Awareness Message Data T2 - Proceedings of the 32nd Annual Congress of the EVU KW - Accident Reconstruction KW - Vehicle-2-X Communication KW - Cooperative Awareness Message Y1 - 2024 SP - 376 EP - 390 PB - EVU CY - Berlin ER - TY - JOUR A1 - Paula, Daniel A1 - Bauder, Maximilian A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Böhm, Klaus A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior JF - Sensors N2 - Partially automated driving functions (SAE Level 2) can control a vehicle’s longitudinal and lateral movements. However, taking over the driving task involves automation risks that the driver must manage. In severe accidents, the driver’s ability to avoid a collision must be assessed, considering their expected reaction behavior. The primary goal of this study is to generate essential data on driver reaction behavior in case of malfunctions in partially automated driving functions for use in legal affairs. A simulator study with two scenarios involving 32 subjects was conducted for this purpose. The first scenario investigated driver reactions to system limitations during cornering. The results show that none of the subjects could avoid leaving their lane and moving into the oncoming lane and, therefore, could not control the situation safely. Due to partial automation, we could also identify a new part of the reaction time, the hands-on time, which leads to increased steering reaction times of 1.18 to 1.74 s. The second scenario examined driver responses to phantom braking caused by AEBS. We found that 25 of the 32 subjects could not override the phantom braking by pressing the accelerator pedal, although 16 subjects were informed about the system analog to the actual vehicle manuals. Overall, the study suggests that the current legal perspective on vehicle control and the expected driver reaction behavior for accident avoidance should be reconsidered. UR - https://doi.org/10.3390/s23249785 Y1 - 2023 UR - https://doi.org/10.3390/s23249785 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-42766 SN - 1424-8220 VL - 23 IS - 24 PB - MDPI CY - Basel ER - TY - JOUR A1 - Bauder, Maximilian A1 - Langer, Robin A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Post-Processing Kalman Filter Application for Improving Cooperative Awareness Messages’ Position Data Accuracy JF - Sensors N2 - Cooperative intelligent transportation systems continuously send self-referenced data about their current status in the Cooperative Awareness Message (CAM). Each CAM contains the current position of the vehicle based on GPS accuracy, which can have inaccuracies in the meter range. However, a high accuracy of the position data is crucial for many applications, such as electronic toll collection or the reconstruction of traffic accidents. Kalman filters are already frequently used today to increase the accuracy of position data. The problem with applying the Kalman filter to the position data within the Cooperative Awareness Message is the low temporal resolution (max. 10 Hz) and the non-equidistant time steps between the messages. In addition, the filter can only be applied to the data retrospectively. To solve these problems, an Extended Kalman Filter and an Unscented Kalman Filter were designed and investigated in this work. The Kalman filters were implemented with two kinematic models. Subsequently, driving tests were conducted with two V2X vehicles to investigate and compare the influence on the accuracy of the position data. To address the problem of non-equidistant time steps, an iterative adjustment of the Process Noise Covariance Matrix Qand the introduction of additional interpolation points to equidistance the received messages were investigated. The results show that without one of these approaches, it is impossible to design a generally valid filter to improve the position accuracy of the CAM position data retrospectively. The introduction of interpolation points did not lead to a significant improvement in the results. With the Qmatrix adaptation, an Unscented Kalman Filter could be created that improves the longitudinal position accuracy of the two vehicles under investigation by up to 80% (0.54 m) and the lateral position accuracy by up to 72% (0.18 m). The work thus contributes to improving the positioning accuracy of CAM data for applications that receive only these data retrospectively. UR - https://doi.org/10.3390/s24247892 Y1 - 2024 UR - https://doi.org/10.3390/s24247892 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-55492 SN - 1424-8220 VL - 24 IS - 24 PB - MDPI CY - Basel ER - TY - JOUR A1 - Langer, Robin A1 - Bauder, Maximilian A1 - Moghariya, Ghanshyam Tukarambhai A1 - Eckert, Michael Clemens Georg A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Testing and Validation of the Vehicle Front Camera Verification Method Using External Stimulation JF - Sensors N2 - The perception of the vehicle’s environment is crucial for automated vehicles. Therefore, environmental sensors’ reliability and correct functioning are becoming increasingly important. Current vehicle inspections and self-diagnostics must be adapted to ensure the correct functioning of environmental sensors throughout the vehicle’s lifetime. There are several promising approaches for developing new test methods for vehicle environmental sensors, one of which has already been developed in our previous work. A method for testing vehicle front cameras was developed. In this work, the method is improved and applied again. Various test vehicles, including the Tesla Model 3, Volkswagen ID.3, and Volkswagen T-Cross, are stimulated by simulating driving scenarios. The stimulation is carried out via a tablet positioned before the camera. The high beam assist is used to evaluate the vehicle’s reaction. It was observed whether the vehicle switched from high to low beam as expected in response to the stimulation. Although no general statement can be made, the principle of stimulation works. A vehicle reaction can be successfully induced using this method. In further test series, the influence of display brightness is examined for the first time in this work. The results show that the display brightness significantly influences the test procedure. In addition, the method is validated by stimulation with colored images. It is shown that no complex traffic simulation is necessary to trigger a vehicle reaction. In the following validation approach, the CAN data of the Tesla Model 3 is analyzed during the tests. Here, too, the assumption that the vehicle reaction is based solely on the detected brightness instead of identifying road users is confirmed. The final validation approach examines the method’s applicability to other vehicles and high beam assist technologies. Although the method could not be used on the Volkswagen T-Cross due to a fault detected by the vehicle’s self-diagnosis, it worked well on the Volkswagen ID.3. This vehicle has a dynamic light assist in which individual segments of the high beam are dimmed during stimulation. Although the method developed to stimulate vehicle front cameras is promising, the specific factors that trigger the vehicle responses remain to be seen. This uncertainty suggests that further research is needed better to understand the interaction of stimulation and sensor detection. UR - https://doi.org/10.3390/s24248166 Y1 - 2024 UR - https://doi.org/10.3390/s24248166 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-56097 SN - 1424-8220 VL - 24 IS - 24 PB - MDPI CY - Basel ER - TY - JOUR A1 - Geisbauer, Christian A1 - Wöhrl, Katharina A1 - Lott, Susanne A1 - Nebl, Christoph A1 - Schweiger, Hans-Georg A1 - Goertz, Roland A1 - Kubjatko, Tibor T1 - Scenarios involving accident-damaged electric vehicles JF - Transportation Research Procedia N2 - Electrically propelled cars will play a major role on the streets, not only in the far, but also in the near future. In this work, an overview on the possible risks arising from electric vehicles is given that involves electrical, chemical and thermal hazards. Additionally, an analysis on different scenarios involving damaged electric vehicles, the involved parties, as well as their risk assessment in terms of hazard rating is presented. Furthermore, two scenarios are explained and addressed with more detail. With the derived risks of the battery and with possible crash scenarios presented, the still existing uncertainties for handling damaged electric vehicles are addressed, followed by a discussion on ways to overcome this problem. UR - https://doi.org/10.1016/j.trpro.2021.07.136 KW - electromobility KW - batteries KW - lithium ion KW - electric vehicle KW - accident KW - rescue service KW - recycling Y1 - 2021 UR - https://doi.org/10.1016/j.trpro.2021.07.136 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13130 SN - 2352-1465 VL - 2021 IS - 55 SP - 1484 EP - 1489 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Paula, Daniel A1 - Bauder, Maximilian A1 - König, Thomas A1 - Dengler, Yannick A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Impact of vehicle electrification on fundamental accident reconstruction parameters T2 - Proceedings of the 30th Annual Congress of the EVU Y1 - 2022 SP - 34 EP - 41 PB - EVU CY - Berlin ER - TY - CHAP A1 - Paula, Daniel A1 - Bauder, Maximilian A1 - König, Thomas A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Systematic investigation of influences on advanced driver assistance systems for accident reconstruction T2 - Proceedings of the 31st Annual Congress of the EVU Y1 - 2023 SP - 253 EP - 261 PB - EVU CY - Berlin ER - TY - CHAP A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Wech, Lothar A1 - Schweiger, Hans-Georg T1 - Opportunities and challenges of cooperative intelligent transportation systems on accident analysis T2 - Proceedings of the 30th Annual Congress of the EVU Y1 - 2022 PB - EVU CY - Berlin ER - TY - JOUR A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Evaluation of the vehicle behaviour when not responding to the take-over request of Tesla Autopilot and Volkswagen Travel Assist JF - Transportation Research Procedia N2 - In this work, driving tests were carried out with a Tesla Model 3 and VW ID.4. During the tests, the vehicles were controlled by an SAE Level 2 system (Tesla Autopilot and VW Travel Assist). The study aimed to investigate the behaviour of the vehicles when the driver does not react to the take-over request of the vehicle while it is in a non-critical driving situation. The aim was to clarify whether this can lead to accidents from a purely technical point of view and whether there is still room for improvement. As a result, it could be determined that a non-reaction of the driver to the take-over request leads to system-initiated braking decelerations, which can lead to a rear-end collision by the following traffic. Furthermore, secondary accidents are possible if the driver fails to act as a fallback. This could be reduced by improving the applicable UNECE standard R79 by specifying deceleration values for this case. In addition, the risk of an accident could be reduced by decelerating earlier and warning the environment. For this purpose, a driver monitoring system would also be recommended to allow situational decisions by the system. The implementation of the measures proposed could result in a significant increase in road safety while using these systems. UR - https://doi.org/10.1016/j.trpro.2023.11.167 Y1 - 2024 UR - https://doi.org/10.1016/j.trpro.2023.11.167 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-63210 SN - 2352-1465 VL - 2023 IS - 74 SP - 450 EP - 457 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Langer, Robin A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Development of a model environment for autonomous driving JF - Transportation Research Procedia N2 - Developing automated driving functions can be elaborate and cost-intensive. Simulation helps to decrease both, the effort and the costs. With physical model environments of a smaller scale, automotive research can be improved even further. This work presents a method with five steps for building a scaled model environment to answer research questions regarding autonomous driving functions in the automotive domain. For this purpose, the five steps of the method are first introduced and explained. Each step comes with indications that can be further extended. Then, the method is performed by creating a model environment. The model environment build in this work is a recreation of an urban intersection in Ingolstadt, Germany, in the scale of 1:10. In addition to two model vehicles, the model environment consists of pedestrians and traffic control elements such as signs, signals, various lanes and road markings. The advantages of the model environment are low costs and high reproducibility. On the other hand it comes with limitations. For example, the materials used for construction (polylactic acid) are different from the materials in reality. The aim of this work was achieved by providing a method for building a model environment for automotive domain. The limitations of the built model environment and actual testing of automated driving functions will be performed in the future. UR - https://doi.org/10.1016/j.trpro.2023.11.122 Y1 - 2024 UR - https://doi.org/10.1016/j.trpro.2023.11.122 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-63201 SN - 2352-1465 VL - 2023 IS - 74 SP - 133 EP - 140 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Paula, Daniel A1 - König, Thomas A1 - Bauder, Maximilian A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Performance Tests of the Tesla Autopilot and VW Travel Assist on a Rural Road T2 - Transport Means 2022: Proceedings of the 26th International Scientific Conference - Part II UR - https://doi.org/10.5755/e01.2351-7034.2022.P2 KW - Accidents Analysis KW - SAE Level 2 Systems KW - VW Travel Assist KW - Tesla Autopilot KW - Performance test Y1 - 2022 UR - https://doi.org/10.5755/e01.2351-7034.2022.P2 SN - 2351-7034 SN - 1822-296X SP - 498 EP - 508 PB - Kaunas University of Technology CY - Kaunas ER - TY - JOUR A1 - Paula, Daniel A1 - Bauder, Maximilian A1 - König, Thomas A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Schweiger, Hans-Georg T1 - Fahrerassistenzsysteme – Herausforderungen & Chancen für die forensische Unfallanalyse JF - Zeitschrift für Verkehrssicherheit Y1 - 2022 UR - https://www.kirschbaum.de/fachzeitschriften/zeitschrift-fuer-verkehrssicherheit/zvs/aktuelles-heft-6.html#c11330 SN - 0044-3654 VL - 2022 IS - 4 PB - Kirschbaum Verlag GmbH CY - Bonn ER -