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Integration of Longitudinal and Lateral Human Driver Models for Evaluation of the Vehicle Active Safety Systems
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 12, 2010 by SAE International in United States
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This paper presents an integration of longitudinal and lateral human driver model for evaluation of vehicle active safety systems. The integrated human driver model consists of 3 parts; recognition, decision, action which represents a real driver's driving process. The recognition part and action part of the driver model has a few parameters that can represent real driver's characteristics in the driving situation. For example, preview distance, neuromuscular system, warning index and time to collision. Also, these parameters are extracted based on real driver's manual driving data. The decision part is made up with lateral and longitudinal human driver models. The lateral human driver model is developed to represent steering behavior of human driver using finite preview optimal control method. The longitudinal human driver model represents human driver's throttle and brake control behavior relative to preceding vehicle motion and road shape. The longitudinal human driver model computes a desired acceleration and generates throttle/brake inputs to maintain vehicle-to-vehicle clearance at a desired level or to control vehicle speed. The integrated human driver model has been developed to represent the behavior of a human driver in alternative driving situation, i.e., vehicle following, lane following and emergency braking, etc. In other words, this driver model can be used in the design of active safety systems to assess their performance under average drivers. It is shown that human driver's behaviors can be well represented by the integrated human driver model presented in this paper. Finally, demonstration of the vehicle active safety system's evaluation would be conducted by using the integrated human driver model.
CitationLee, T., Kang, J., Yi, K., Noh, K. et al., "Integration of Longitudinal and Lateral Human Driver Models for Evaluation of the Vehicle Active Safety Systems," SAE Technical Paper 2010-01-0084, 2010, https://doi.org/10.4271/2010-01-0084.
Tire and Wheel Technology and Vehicle Dynamics and Handling, 2010
Number: SP-2261 ; Published: 2010-04-13
Number: SP-2261 ; Published: 2010-04-13
- PLÖCHL* MANFRED.EDELMANN JOHANNES, (2007) Driver models in automobile dynamics application, Vehicle System Dynamics, Vol. 45, Nos. 7-8, July-August 2007, 699-741
- JamesD.J.G., BoehringerF., BurnhamK.J., Copp D.G.., (2004) Adaptive driver model using a neural network, Artificial Life and Robotics, Springer Japan, vol.7, no.4
- NechybaM.C., Xu(1997) Y. Human Control Strategy, Abstraction, Verification, and Replication, IEEE Control Systems Magazine, October pp.48-61.
- Suzuki Tatsuya, Inagaki Shinkichi, et al., (2008), Modeling and Analysis of Vehicle Following Task based on Mode Segmentation, AVEC 08, 9th International Symposium on Advanced Vehicle Control, pp.614-619.
- Pham Hung, Hedrick Karl, Tomizuka Masayoshi, (1994), Combined Lateral and Longitudinal Control of Vehicles for IVHS, American Control Conference, Vol.2, pp.1205-1206.
- Rajamani Rajesh, Tan Han-Shue, Law Boon Kait, and Zhang Wei-Bin, (2000), Demonstration of Integrated Longitudinal and Lateral Control for the Operation of Automated Vehicles in Platoons, IEEE, Vol.8, Control Systems Technology, pp.695-708.
- Kang, JuYong., Yi, Kyongsu. and Noh, Kihan. (2007), Development and Validation of a Finite Preview Optimal Control-based Human Driver Steering Model, KSME Spring Conference in 2007, KSME, pp. 130∼135
- Peng, H. (1992). Vehicle Lateral Control for Highway Automation. PhD Thesis, University of California at Berkeley.
- Peng, H., Tomizuka, M. (1990), Lateral Control of Front-Wheel-Steering. Rubber-Tire Vehicles, Publication of PATH project, ITS, UC Berkeley, UCB-ITS-PRR-90-5
- Chen, Long-Chain (1988). An active suspension system with preview control for passenger automobiles. PhD Thesis, Massachusetts Institute of Technology.
- Burl, Jeffrey B. (1998). Linear Optimal Control, pp.179∼226.Addison-Wesley Longman, Boston, MA.
- Moon Seungwuk.,Yi Kyongsu,.(2008) Human driving data-based Design of a Vehicle Adaptive Cruise Control Algorithm, Vehicle System Dynamics, Vol. 46, No. 8, pp.661-690
- Yi, K. and Moon, I., (2006), A driver-adaptive range policy for adaptive cruise control, IMechE, Vol. 220, Part D: J. Automobile Engineering, pp. 321-334.
- Cho Wanki.,Yoon Jangyeol.,Kim Jeongtae.,Hur Jaewoong.,Yi Kyongsu.(2008), An Investigation into Unified Chassis Control Scheme for Optimized Vehicle Stability and Maneuverability, International Association of Vehicle System Dynamics, Vehicle System Dynamics, Vol. 46, (supplement), pp.87-105
- Lee Taeyong, Kang Juyong, Yi Kyongsu, Noh Kihan, Moon Chulwoo(2009), Integrated Human Driver Model for Closed-loop Evaluation of Vehicle Active Safety System, 21th International Symposium on Dynamics of Vehicles on Roads and Tracks(IAVSD 2009), 2009.08.17-21, Stockholm, KTH, Sweden
- Pick A., Cole D., Neuromuscular Dynamics and the Vehicle Steering Task, Vehicle System Dynamics, Vol. 41, 2004, pp.182
- UNGOREN A.Y. and PENG H., An adaptive lateral preview driver model, Vehicle System Dynamics, Vol. 43, No. 4, April 2005, pp.245-259
- Da Lio M., Biral F., Bertolazzi E., Combining safety margins and user preferences into a driving criterion for optimal control-based computation of reference maneuvers for an ADAS of the next generation, Intelligent Vehicles Symposium, 2005. Proceedings. IEEE, pp.36-41
- Moon Seungwuk, Cho Wanki and Yi Kyongsu, Intelligent Vehicle Safety Control Strategy in Various Driving Situations, Vehicle System Dynamics, 2009, to be published.