Abstract
The main idea of the present work is to define the domain in which it is possible to adopt very simple models of vehicle dynamics for applications in the testing of Advanced Driver Assistance Systems (ADAS) in lieu of complex models. The aim is to reduce the computational burden, and consequently the computing time. In particular, in the paper, the performances of a very simple model of vehicle dynamics, the Single Track with linear tires, have been compared with those of a complex and complete model, with non-linear tires, included in a commercial software (IPG CarMaker). For sake of shortness, the comparison has been carried out focusing on the lateral dynamical behaviour, and consequently the testing of a Lane Keeping Assistant (LKA) system has been carried out. Of course both the vehicle dynamic models, and the ADAS system have been integrated in a common simulation environment (Simulink), and tested in the standard traffic scenarios defined in EuroNCAP test protocols.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
European Commission (2016) Annual Accident Report
EuroNCAP (2015) EuroNCAP 2020 Roadmap
Lindgren A, Chen F (2006) State of the art analysis: an overview of advanced driver assistance systems (adas) and possible human factors issues. In: Human factors and economics aspects on safety, pp 38–50
Bengler K, Dietmayer K, Farber B, Maurer M, Stiller C, Winner H (2014) Three decades of driver assistance systems: Review and future perspectives. IEEE Intell Transp Syst Mag 6(4):6–22
Cicchino JB (2017) Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates. Accid Anal Prev 99:142–152
Eichelberger AH, McCartt AT (2016) Toyota drivers’ experiences with dynamic radar cruise control, pre-collision system, and lane-keeping assist. J Saf Res 56:67–73
Pariota L, Pastore SR, Timpone F (2016) Modelling components for the fuel consumption investigation in model in the loop environment: parameter tuning for an ecological fully-adaptive cruise control system. In: EEEIC 2016 - 16th International conference on environment and electrical engineering, Florence, Italy, 7 June 2016–10 June 2016. doi:10.1109/EEEIC.2016.7555690
Farroni F, Russo M, Russo R, Timpone F (2014) A physical-analytical model for a real-time local grip estimation of tyre rubber in sliding contact with road asperities. Proc Inst Mech Eng Part D J Automobile Eng 228(8):955–969. doi:10.1177/0954407014521402
European Commission (2015) Benefit and Feasibility of a Range of New Technologies and Unregulated Measures in the fields of Vehicle Occupant Safety and Protection of Vulnerable Road Users
Russo Spena M, Timpone F, Farroni F (2015) Virtual testing of advanced driving assistance systems. Int J Mech 9:300–308
Bifulco GN, Galante F, Pariota L, Russo-Spena M (2012) Identification of driving behaviors with computer-aided tools. In: 2012 Sixth UKSim/AMSS european symposium on computer modeling and simulation (EMS), pp 331–336. IEEE
Guiggiani M (2014) The Science of Vehicle Dynamics: Handling, Braking, and Ride of Road and Race Cars. Springer, Dordrecht
CarMaker Reference Manual, IPG
Farroni F, Timpone F (2016) A test rig for tyre envelope model characterization. Eng Lett 24(3):284–289
Farroni F, Rocca E, Timpone F (2013) A full scale test rig to characterize pneumatic tyre mechanical behaviour. Int Rev Mech Eng 7(5):841–846
Farroni F, Pasquino N, Rocca E, Timpone F (2015) A comparison among different methods to estimate vehicle sideslip angle. In: Proceedings of the world congress on engineering (WCE 2015). Lecture Notes in Engineering and Computer Science, vol II, pp 1084–1090. Imperial College, London, 1–3 July 2015
EuroNCAP (2015) TEST PROTOCOL – Lane Support Systems
Lenzo B, De Filippis G, Sorniotti A, Gruber P, Sannen K (2016) Understeer characteristics for energy-efficient fully electric vehicles with multiple motors. In: EVS 2016 – 29th International electric vehicle symposium
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Farroni, F., Fusco, G., Pariota, L., Pastore, S.R., Sakhnevych, A., Timpone, F. (2018). Comparison of Modelling Tools for the Assessment of the Parameters of Driving Assistance Solutions. In: Ferraresi, C., Quaglia, G. (eds) Advances in Service and Industrial Robotics. RAAD 2017. Mechanisms and Machine Science, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-61276-8_47
Download citation
DOI: https://doi.org/10.1007/978-3-319-61276-8_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61275-1
Online ISBN: 978-3-319-61276-8
eBook Packages: EngineeringEngineering (R0)