Driving Performance Analysis of the Adaptive Cruise Controlled Vehicle with a Virtual Reality Simulation System

  • Kwon Seong-Jin (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Chun Jee-Hoon (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Jang Suk (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Suh Myung-Won (School of Mechanical Engineering, Sungkyunkwan University)
  • Published : 2006.01.01

Abstract

Nowadays, with the advancement of computers, computer simulation linked with VR (Virtual Reality) technology has become a useful method for designing the automotive driving system. In this paper, the VR simulation system was developed to investigate the driving performances of the ASV (Advanced Safety Vehicle) equipped with an ACC (Adaptive Cruise Control) system. For this purpose, VR environment which generates visual and sound information of the vehicle, road, facilities, and terrain was organized for the realistic driving situation. Mathematical models of vehicle dynamic analysis, which includes the ACC algorithm, have been constructed for computer simulation. The ACC algorithm modulates the throttle and the brake functions of vehicles to regulate their speeds so that the vehicles can keep proper spacing. Also, the real-time simulation algorithm synchronizes vehicle dynamics simulation with VR rendering. With the developed VR simulation system, several scenarios are applied to evaluate the adaptive cruise controlled vehicle for various driving situations.

Keywords

References

  1. Fujioka, T., Aso, M. and Baba, J., 1995, 'Comparison of Sliding and PID Control for Longitudinal Automated Platooning,' Society of Automotive Engineers, SAE Paper No. 951898
  2. Hayashi, Y., 1998, 'Expectations for Vehicle Control in the Next Generation,' Proceedings of the International Symposium on Advanced Vehicle Control, pp. 1-8
  3. Holve, R., Protzel, P. and Naab, K., 1996, 'Generating Fuzzy Rules for the Acceleration Control of an Adaptive Cruise Control System,' Proceedings of North American Fuzzy Information Processing, pp.451-455 https://doi.org/10.1109/NAFIPS.1996.534776
  4. International Organization for Standardization 15622, 2002, Transport Information and Control Systems-A daptive Cruise Control Systems Performance Requirements and Test Procedures
  5. Jang, S., Kwon, S. J., Chun, J. H., Cho, K. Y. and Suh, M. W., 2005, 'Development of the VR Simulation System for the Study of Driver's Perceptive Response,' Transactions of the Korea Society of Automotive Engineers, Vol. 13, No.2, pp. 149-156
  6. Kim, T. K., Park, Y. K. and Suh, M. W., 1999, 'A Study on the Performance Characteristics of the VDC Vehicles,' Transactions of the Korea Society of Automotive Engineers, Vol. 7, No.9, pp.146-157
  7. Korean Society of Automotive Engineers, 1996, Automobile Technology Handbook, Vol. 3, pp.29-52
  8. Kubuzuka, T., 2002, 'Perspective of ITS Technolo-y: A Scenario,' Proceedings the International Symposium on Advanced Vehicle Control, pp.1-6
  9. Kwon, S. J., Fujioka, T., Omae, M., Cho, K. Y. and M. W. Suh., 2004, 'A Study on the ModelMatching Control in the Longitudinal Autonomous Driving System,' International Journal of Automotive Technology, Vol. 5, No.2, pp. 134-144
  10. Lee, D. H. and Chang, K. S., 2000, 'A Study on the Autonomous Cruise Control Using the Sliding Mode,' Transactions of the Korea Society of Automotive Engineers, Vol. 8, No.2, pp. 92-101
  11. Lee, S. J., Hong, J. H. and Yi, K. S., 2001, 'A Modeling and Control of Intelligent Cruise Control Systems,' Transactions of the Korea Society of Mechanical Engineers, Vol. 25, No.2, pp. 283-288
  12. Lee, S. W., 2003, 'Intelligent Transport System in Japan,' Journal of the Korean Society of Automotive Engineers, Vol. 25, No.5, pp. 48-51
  13. Multigen Paradigm, 1999, Multigen Creator User's Guide
  14. Multigen Paradigm, 1999, Vega Programmer's Guide
  15. Redmill, K. A., Martin, J.I. and Ozguner, D., 2000, 'Virtual Environment Simulation for Image Processing Sensor Evaluation,' Proceedings of IEEE Intelligent Transportation Systems Conferences, pp. 64-70
  16. Seto, Y., Murakami, T., Inoue, H. and Tange, S., 1998, 'Development of a Headway Distance Control System,' Society of Automotive Engineers, SAE Paper No. 980616
  17. Shladover, S. E., Desoer, C. A., Hedrick, J. K., Tornizuka, M., Walrand, J., Zhang, W. B., McMahon, D. H., Peng, H., Sheikholeslam, S. and McKeown, N., 1991, 'Automatic Vehicle Control Developments in the PATH Program,' IEEE Transactions on Vehicular Technology, Vol. 40, No. 1, pp. 114-130 https://doi.org/10.1109/25.69979
  18. Suh, M. W., Kim, T. G., Yeo, J. W., Seok, C. S., Kim, Y. J. and Lee, J. C., 1999, 'Development of Vehicle Model for Dynamic Analysis of ABS Vehicle,' Transactions of the Korea Society of Automotive Engineers, Vol. 7, No.2, pp. 228- 241
  19. Suh, M. W., Koo, T. Y., Kwon, S. J., Shin, Y. S., Cho, K. Y. and Park, D. Y., 2002, 'Development of the SVPG (Sungkyunkwan Univ. Virtual Proving Ground) : System Configuration and Application of the Virtual Proving Ground,' Transactions of the Korea Society of Automotive Engineers, Vol. 10, No.1, pp. 195-202
  20. Tamura, K. and Furukawa, Y., 1998, 'Autonomous Vehicle Control System Equipped with a Navigation System,' Proceedings of the International Symposium on Advanced Vehicle Control, pp. 361-367
  21. Wang, J. M. and Rajaman, R., 2002, 'Adaptive Cruise Control System Design and Its Impact on Highway Traffic Flow,' Proceedings of the American Control Conference, No.5, pp. 3690-3695 https://doi.org/10.1109/ACC.2002.1024501
  22. Won, M., Kim, S. S., Kang, B. B. and Jung, H. J., 2001, 'Test Bed for Vehicle Longitudinal Control Using Chassis Dynamometer and Virtual Reality: An Application to Adaptive Cruise Control,' KSME International Journal, Vol. 15, No.9, pp. 1248-1256