EVU 2021: Unterschied zwischen den Versionen
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==Bester Vortrag== | ==Bester Vortrag== | ||
* [[Hoogendijk, F.]]: Reverse engineering and evaluation of | * [[Hoogendijk, F.]]: Reverse engineering and evaluation of Tesla vehicle logs | ||
==Poster== | ==Poster== |
Version vom 9. Oktober 2021, 13:22 Uhr
29th Annual Congress of the EVU, (ursprünglich 9. – 11.09.2020, aufgrund COVID-19 zunächst auf 4. bis 6. November 2020 verschoben, am 27.6.20 komplett für 2020 abgesagt), Haifa, Israel
http://www....
Thema:
Elektro- und Hybridfahrzeuge (E&HF‘s) / Electrical and Hybrid vehicles (E&HV’s)
Schwerpunktthemen:
- Betrieb und Steuerung von E&HF‘s / Operation and control of E&HV’s
- Auslesen und Analysieren von Daten aus E&HF‘s / Retrieval and analysis of data from E&HV’s
- Post-Crash-Sicherheit von E&HF’s / Post-crash safety of E&HV’s
- Elektrisch angetriebene Zweiräder / Electrically powered two wheelers
Programm
06.10.2021, online 09:00 – 16:30 h
1. Session (Future of accident reconstruction)
- Becker, M.: The Role of Accident Investigation and Reconstruction in the Judicial System and Potential Impact on Road Safety Promotion - Insights Based on Accident Investigation Experts and Lawyers Survey
- Paula, D.; Böhm, K.: Challenges in forensic reconstruction of traffic accidents involving Advanced Driver Assistance Systems (ADAS)
- Sinen, E.: Electronic data in crashed vehicles - between chance and challenge
- Kreutner, M.: Needs and Requirements of EDR/DSSAD - Analysis based on Insurance Claims Reported to Allianz Germany
2. Session (Data retrieval and analysis)
- Krajinovic, S.: Case study: Usage of "black box" data in tramway – pedestrian road accident
- Peltz, C.: Second Generation of Digital Tachographs - Modifications and Accuracy of Data
- Spek, A.: Anatomy of a car-following accident (Tesla)
- Hoogendijk, F.: Reverse engineering and evaluation of Tesla vehicle logs
- Weyde, M.: Status report: UNECE IWG on EDR/DSSAD (kein Paper im Tagungsband!)
3. Session (Human Factors)
- Winninghoff, M.: Sounds of Silence: Comparison of silencing in modern cars compared to non-motorised road users with headphones
- Pfleger, E.: Identification of accident risks at motorway access points and measures against wrong-way drivers
- White, I.: Night Time Visibility of Pedestrians on Unlit Roads – A Comparison of Analysis Methods and Some Practical Suggestions
- van Stekelenburg, G.; Hetjes, B.: The transition of control from “Pilot-Assist” to Driver
- Golka, U.: Faulty application of Tyre Pressure monitoring systems (TPMS) puts drivers and road users at risk
EVU-Mitgliederversammlung 16:30 – 17:30 h
07.10.2021, online 09:00 – 16:00 h
4. Session (Vehicles)
- Nikolsky, O. L.; Raz, U.: Theoretical analysis of potential risks in using Electrical Vehicles and Hybrid Verhicles vs actual field reports
- Nebl, C.; Wöhrl, K.; Schweiger, H.-G.: Handling of accident-damaged electric vehicles
- Golka, U.: Fitting errors of UHP / RFT (Ultra-High-Performance and Run-Flat Tyres) are causes of serious accidents
- Köfalvi, G.; Kabai, D.: Automatic force detection and tracking for tensioning devices in commercial vehicle load securing
5. Session (Vehicles)
- Wolbers, J.; Lilienbecker, L.; Holtkötter, I.: Experimental investigation of the biomechanical load values by using new and old car seats in rear-end collisions
- Böhm, K.: Reliability and performance of the AEB system of a Tesla Model X under different conditions
- Ciepka, P.: Motorcycle Engine Braking Performance
- Barisic-Jaman, B.: E-Bike Deceleration Analysis
- Samara, M.; Raz, U.: The effect of "Roll Bar" installed on QUADRI CYCLE (QUAD BIKE) on occupants safety
6. Session (Reconstruction methods)
- Schmidt, M.: Non-linear optimization in accident analysis; s.a.
- Strzeletz, R.: E-Scooter vs. Pkw
- Zebala, J.: Finite Element Method (FEM) in the reconstruction of rear underride crashes
- Marsano, G.: Influence of modern vehicle design on occupant load in low speed rear-end collisions
- Wach, W.; Unarski, J.: Analysis of video recordings using the lightboard: stabilization of timing, high-speed camera, exposure time
Bester Vortrag
- Hoogendijk, F.: Reverse engineering and evaluation of Tesla vehicle logs