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Adaptive Design of Driver Steering Override Characteristics for LKAS
Technical Paper
2019-01-5030
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Lane Keeping Assistance System (LKAS) is a typical lateral driver assistance system with low acceptance. One of the main reasons is that fixed parameters cannot satisfy individual differences. So LKAS adaptive to driver characteristics needs to be designed. Driver Steering Override (DSO) process is an important process of LKAS. It happens when contradiction between driver’s intention and system behavior occurs. As feeling of overriding will affect the overall experience of using LKAS, the design of DSO characteristics is worthy of attention. This research provided an adaptive design scheme aiming at DSO characteristics for LKAS by building Driver Preference Model (DPM) based on simulator test data from preliminary experiments. The DPM was to represent the relationship between driver characteristics indices and driver preferred system characteristics indices. So that new drivers’ preference can be predicted by DPM based on their own daily driving data with LKAS switched off. The inputs of DPMs are 27 lane changing driver characteristics indices which were extracted based on natural lane changing data. Principal Component Analysis (PCA) and correlation analysis were used during input-indices selection. The outputs of DPMs are 2 driver preferred system characteristics indices which can express driver’s preferred DSO characteristics. 6 participants took part in preliminary experiments for data collection and evaluation experiments. Their preferred system characteristic indices were calculated through the results of evaluation experiments. The building of DPMs was realized by Random Forest (RF) based on 6 participants’ lane changing driver characteristics indices and driver preferred system characteristics indices. The verification of DPMs’ effectiveness was realized by subjective evaluation. The result showed that DPMs can realize adaptive design of DSO characteristics for LKAS focusing on driver’s preference and improve driver’s acceptance.
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Citation
Liu, Q., Chen, H., Chen, J., Nishimura, Y. et al., "Adaptive Design of Driver Steering Override Characteristics for LKAS," SAE Technical Paper 2019-01-5030, 2019, https://doi.org/10.4271/2019-01-5030.Data Sets - Support Documents
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References
- Tian , E. , Xiao , Q. , Lu , X.J. , Zhao , Z.L. et al. Determination of Alarm Threshold in Safe Driving System with Lateral Warning Journal of Changan University 2012
- Polychronopoulos , A. Möhler , N. , Ghosh , S. , and Beutner , A. System Design of a Situation Adaptive Lane Keeping Support System, the SAFELANE System Advanced Microsystems for Automotive Applications 2005 2005 10.1007/3-540-27463-4_13
- Katzourakis , D.I. , Winter , D.E. , Joost , C.F. et al. Road-Departure Prevention in an Emergency Obstacle Avoidance Situation IEEE Transactions on Systems Man & Cybernetics Systems 44 5 621 629 2014 10.1109/TSMC.2013.2263129
- Braitman , K.A. et al. Volvo and Infiniti Drivers’ Experiences with Select Crash Avoidance Technologies Traffic Injury Prevention 11 3 270 278 2010 10.1080/15389581003735600
- Eichelberger , A.H. and McCartt , A.T. Toyota Drivers' Experiences with Dynamic Radar Cruise Control, Pre- Collision System, and Lane-Keeping Assist Journal of Safety Research 56 67 73 2016 10.1016/j.jsr.2015.12.002
- Jieyun , D. 2015
- Lefã¨Vre , S. , Carvalho , A. , Gao , Y. et al. Driver Models for Personalised Driving Assistance Vehicle System Dynamics 53 12 1705 1720 2015
- Duan , L. and Chen , F. The Future of Advanced Driving Assistance System Development in China IEEE International Conference on Vehicular Electronics & Safety IEEE 2011 10.1109/ICVES.2011.5983821
- Katzourakis , D. , Olsson , C. , Lazic , N. , Lidberg , M. Driver Steering Override Strategies for Steering Based Active Safety Systems JSAE Future Active Safety Technology toward Zero-Traffic-Accident 2013
- Dang , J. , Chen , H. , and Chen , J. Optimal Design of Driver Steering Override Strategy for Lane-Keeping Assistance System JSAE Annual Congress (Spring) 2016
- YuChenfei 2013
- Hirose , T. , Oguchi , Y. , and Sawada , T. Framework of Tailormade Driving Support Systems and Neural Network Driver Model IATSS Research 28 1 108 114 2004 10.1016/s0386-1112(14)60098-4
- Qiang , L. 2014
- Lishan , J. 2011
- Hoedemaeker , M. Driving Behaviour with ACC and the Acceptance by Individual Drivers ITSC2000. 2000 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.00TH8493) Dearborn, MI, USA 2000 506 509 10.1109/ITSC.2000.881121
- He , X. 2019
- He , X. , Chen , H. , Chen , J. , Ran , W. et al. Evaluation and Optimization of Driver Steering Override Strategy for LKAS Based on Driver’s Acceptability SAE Technical Paper 2018-01-1631 2018 10.4271/2018-01-1631
- Hou , H. 2013
- Dang , J. 2017