Zusammenfassung
Full validation of the safety of an autonomous vehicle requires excessive amounts of testing and driving hours, which is impossible to achieve without virtual simulations. Therefore, companies seek efficient and smart testing strategies to virtually validate the safety of autonomous vehicle functions aiming to achieve lower costs and less time to market. Simulation-based testing for autonomous and connected vehicles is essential for the future generation of transportation systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Literatur
SAMSUNG Business, “The Connected Vehicle Comes of Age”, Featuring research from Gartner, 2015.
Bernard J. Arseneau, Santanu Roy, Joshua Salazar, Joey Yang, “Autonomous and Connected Vehicles Preparing for the Future of Surface Transportation”, HDR, 2015.
John Bradburn, David Williams, Rob Piechocki, Kat Hermans, “Connected & Autonomous Vehicles Introducing the Future of Mobility”, Atkins and Intelligent Mobility, 2015.
Juez, G., Amparan, E., Lattarulo, R., Rastelli, J.P., Ruiz, A., and Espinoza, H. (2017). Safety assessment of automated vehicle functions by simulation-based fault injection. In 2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 214-219, doi:10:1109/ICVES:2017:7991928.
Silveira, A.M., Arajo, R.E., and de Castro, R. (2012). Fieev: A co-simulation framework for fault injection in electrical vehicles. In 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012), 357-362. doi: 10:1109/ICVES:2012:6294254.
Krajzewicz, D., Erdmann, J., Behrisch, M., and Bieker, L. (2012). Recent development and applications of SUMO - Simulation of Urban MObility. International Journal On Advances in Systems and Measurements, 5(3&4), 128-138.
Backfrieder, C., Mecklenbruker, C.F., and Ostermayer, G. (2013). TraffSim : a traffic simulator for investigating benefits ensuing from intelligent traffic management. In 2013 European Modelling Symposium, 451-456. doi: 10:1109/EMS:2013:76.
Treiber, M. and Kesting, A. (2010). An open-source microscopic traffic simulator. IEEE Intelligent Transportation Systems Magazine, 2(3), 6-13. doi: 10:1109/MITS:2010:939208.
Saraoglu, Mustafa, Andrey Morozov, and Klaus Janschek. “MOBATSim: MOdel-Based Autonomous Traffic Simulation Framework for Fault-Error-Failure Chain Analysis.” IFAC-PapersOnLine 52.8 (2019): 239-244.
Minnerup, P. M. (2017). An Efficient Method for Testing Autonomous Driving Software against Nondeterministic Influences (Doctoral dissertation, Technische Universität München).
Saraoğlu, Mustafa, et al. “ErrorSim: A tool for error propagation analysis of simulink models.” International Conference on Computer Safety, Reliability, and Security. Springer, Cham, 2017.
ISO 26262-2:2018(en) Road vehicles — Functional safety. International Standardization Organization.
D. N. Lee. A theory of visual control of braking based on information about time to collision. Perception, 1976.
Kristofer D. Kusano and Hampton C. Gabler. Safety benefits of forward collision warning, brake assist, and autonomous braking systems in rearend collisions. IEEE Transactions on Intelligent Transportation Systems, 13(4):1546–1555, 2012.
Praprut Songchitruksa and Andrew P. Tarko. The extreme value theory approach to safety estimation. Accident Analysis and Prevention, 38(4):811– 822, 2006.
Michiel M. Minderhoud and Piet H.L. Bovy. Extended time-to-collision measures for road traffic safety assessment. Accident Analysis and Prevention, 33(1):89–97, 2001.
Qiang Meng and **xian Weng. Evaluation of rear-end crash risk at work zone using work zone traffic data. Accident Analysis and Prevention, 43(4):1291–1300, 2011.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
About this paper
Cite this paper
Saraoğlu, M., Shi, Q., Morozov, A., Janschek, K. (2020). Virtual validation of autonomous vehicle safety through simulation-based testing. In: Bargende, M., Reuss, HC., Wagner, A. (eds) 20. Internationales Stuttgarter Symposium . Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-29943-9_33
Download citation
DOI: https://doi.org/10.1007/978-3-658-29943-9_33
Published:
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-29942-2
Online ISBN: 978-3-658-29943-9
eBook Packages: Computer Science and Engineering (German Language)