Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30840
Vehicle Risk Evaluation in Low Speed Accidents: Consequences for Relevant Test Scenarios

Authors: Philip Feig, Klaus Gschwendtner, Julian Schatz, Frank Diermeyer


Projects of accident research analysis are mostly focused on accidents involving personal damage. Property damage only has a high frequency of occurrence combined with high economic impact. This paper describes main influencing parameters for the extent of damage and presents a repair cost model. For a prospective evaluation method of the monetary effect of advanced driver assistance systems (ADAS), it is necessary to be aware of and quantify all influencing parameters. Furthermore, this method allows the evaluation of vehicle concepts in combination with an ADAS at an early point in time of the product development process. In combination with a property damage database and the introduced repair cost model relevant test scenarios for specific vehicle configurations and their individual property damage risk may be determined. Currently, equipment rates of ADAS are low and a purchase incentive for customers would be beneficial. The next ADAS generation will prevent property damage to a large extent or at least reduce damage severity. Both effects may be a purchasing incentive for the customer and furthermore contribute to increased traffic safety.

Keywords: Accident research, Effectiveness, accident scenarios, ADAS, property damage analysis, damage risk

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 839


[1] Maier, F.: Wirkpotentiale moderner Assistenzsysteme und Aspekte ihrer Relevanz für die Fahrausbildung, Dissertation, Institute of Ergonomics, Technische Universität München, 2013.
[2] Oxley, J.; Corben, B.; Koppel, S.; Fildes, B.; Jacques, N.; Symmons, M.; Johnston, I.: Cost-Effective Infrastructure Measures on Rural Roads, Report No. 217, Monash University Accident Research Centre, 2004.
[3] Kapusta, J.; Kalašová, A.: Motor Vehicle Safety Technologies in Relation to the Accident Rates, 15th International Conference on Transport Systems Telematics, TST 2015, Wroclaw, Poland, pp. 172 – 179, 2015.
[4] Destatis: Wirtschaftsbereiche /TransportVerkehr/Verkehrsunfaelle/Tabellen/UnfaelleVerunglueckte.html, access 11.07.2015.
[5] Grover, C.; Avery, M.; Knight, I.: The rationale for action and the development of test procedures, ESV Conference, Gothenburg, 2015.
[6] Gesamtverband der Deutschen Versicherungswirtschaft e.V. (GDV): Statistisches Taschenbuch der Versicherungswirtschaft 2013, Verlag Versicherungswirtschaft GmbH, Karlsruhe, pp. 58-59, 2013.
[7] Gschwendtner, K.; Kiss, M.; Gwehenberger, J.; Lienkamp, M.: „In-Depth“ -Sachschadenanalyse, Anforderungen und Potenziale, VKU, pp. 272 – 284, 2014.
[8] Gwehenberger, J.; Behl, T.; Lauterwasser, C.: Wie wirksam sind Fahrerassistenzsysteme – vom Bagatellschaden bis zum Schweren Unfall?, VKU, pp. 60 – 65, 2012.
[9] BASt: Bundesanstalt für Straßenwesen: Volkswirtschaftliche Kosten von Straßen-verkehrsunfällen in Deutschland, Bergisch Gladbach, 2015, schaftliche_kosten.pdf?__blob=publicationFile, access 31.07.2015.
[10] Gschwendtner, K.; Kiss, M.; Lienkamp, M.: Prospective Analysis-Method for Estimating the Effect of Advanced Driver Assistance Systems on Property Damage, 17th International IEEE Conference on Intelligent Transportation Systems, Qingdao, 2014.
[11] Gschwendtner, K.; Feig, P.; Kiss, M.; Lienkamp, M.: Prospective Estimation of the Effectiveness of Driver Assistance Systems in Property Damage Accidents, ESV Conference, Gothenburg, 2015.
[12] Gschwendtner, K.: Sachschadenanalyse zur Potenzialermittlung von Fahrerassistenzsystemen - von der Unfalltypen-Erweiterung zum Kundenwert, Dissertation, Institute of Automotive Technology, Dr. Hut Verlag, München, pp. 52 – 57, 87 – 90, 2015.
[13] RCAR Research Council for Automobile Repairs: The Procedure for Conducting a Low Speed 15 km/h Offset Insurance Crash Test to Determine the Damageability and Repairability Features of Motor Vehicles, Selkirk, 2006, _protocol_angled_barrier.pdf, access 30.06.2015.
[14] RCAR Research Council for Automobile Repairs: Information on the implimentation of RCAR crash standards in the German insurance vehicle rating system and information on AEB systems, Ismaning, 2014,, access 30.06.2015.
[15] Heuss, R.; Müller, N.; Wolff van Sintern; Starke A.; Tschiesner A.: Lightweight, heavy impact, How carbon fiber and other light-weight materials will develop across industries and specifically in automotive, McKinsey & Company, 2012,, access 25.06.2015.
[16] Gesamtverband der Deutschen Versicherungswirtschaft e. V. (GDV): Unfalltypenkatalog „UNKA“, Berlin, 2015,, access 29.06.2015.
[17] Infiniti: Backup Collision Intervention, /technology/backup-collision-intervention, access: 28.12.2015.
[18] Mazda: Rear Cross Traffic Alert (RCTA), http://www.mazda /cars/mazda6-saloon/features/safety/, access 28.12.2015.
[19] Cadillac: Cadillac ‘Virtual Bumpers’ Can Help Avoid Crashes, Front and rear automatic braking can stop vehicle if crash Imminent,, access 28.12.2015.
[20] BMW: Parkassistent, sine /2015/fahrerassistenz.html#parken, access 28.12.2015.