Skip to main content
Log in

Safe Technology with a Novel Rear Collision Avoidance System of Vehicles

  • Published:
International Journal of Automotive Technology Aims and scope Submit manuscript

Abstract

This study aims to reduce the severity of injuries caused by and the frequency of rear-end vehicle collisions. A better collision prediction method is proposed by means of millimeter-wave radar sensors able to rapidly detect potential collisions and alert drivers. Implementation of the system would bring about a reduction in accidents and potentially reduce the severity of the accidents that cannot be avoided. The proposed collision avoidance system adopted millimeter-wave radar sensors to collect information on vehicle’s rear surroundings. The designed experimental device has several unique features. The device has a wide monitoring range, incorporates a continuous detection process, and contains a rapid warning system. A series of real-world experiments were performed on cars (Model: Tercel 1.5, Toyota) to demonstrate the monitoring efficiency and warning frequency of this device under several operating conditions. This study furthered the development of a safe technology for avoidance of rear-end collisions, and this offers a novel system which can be used in a variety of vehicles to reduce the frequency of rear-end vehicle collisions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Alonso, J. D., Vidal, E. R., Rotter, A. and Muhlenberg, M. (2008). Lane-change decision aid system based on motion-driven vehicle tracking. IEEE Trans. Vehicular Technology 57, 5, 2736–2746.

    Article  Google Scholar 

  • Brembeck, J. and Winter, C. (2014). Real-time capable path planning for energy management systems in future vehicle architectures. Proc. IEEE Intelligent Vehicles Symp. (IV), Dearborn, Michigan, USA.

  • Distner, M., Bengtsson, M. and Broberg, T. (2009). City safety-a system addressing rear-end collisions at low speeds. Proc. 21st Int. Technical Conf. Enhanced Safety of Vehicles, Stuttgart, Germany.

  • Galvani, M., Biral, F. and Nguyen, B. M. (2014). Four wheel optimal autonomous steering for improving safety in emergency collision avoidance manoeuvres. Proc. 13th Int. Workshop on Advanced Motion Control, Yokohama, Japan.

  • Gehrig, S. and Stein, F. (2007). Collision avoidance for vehicle-following systems. IEEE Trans. Intelligent Transportation Systems 8, 2, 233–244.

    Article  Google Scholar 

  • Hassanzadeh, M., Lidberg, M. and Keshavarz, M. (2012). Path and speed control of a heavy vehicle for collision avoidance manoeuvres. Proc. IEEE Intelligent Vehicles Symp. (IV), Alcala de Henares, Spain.

  • Isermann, R., Mannale, R. and Schmitt, K. (2012). Collision-avoidance systems PRORETA: Situation analysis and intervention controltem. Control Engineering Practice 20, 11, 1236–1246.

    Article  Google Scholar 

  • Knoll, P. M. (2006). Predictive safety systems: Convenience-collision mitigation-collision avoidance. SAE Paper No. 2006-21-0082.

  • Kuo, Y. C., Pai, N. S. and Li, Y. F. (2011). Vision-based vehicle detection for a driver assistance system. Computers & Mathematics with Applications 61, 8, 2096–2100.

    Article  Google Scholar 

  • Lemelson, J. H. and Pedersen, R. D. (1999). GPS Vehicle Collision Avoidance Warning and Control System and Method. U.S. Patent No. 5,983,161.

  • Liu, J. F., Su, Y. F., Ko, M. K. and Yu, P. N. (2008). Development of a vision-based driver assistance system with lane departure warning and forward collision warning functions. Digital Image Computing: Techniques and Applications, Canberra, Australia.

  • Nehaoua, L. and Nouveliere, L. (2012). Back stepping based approach for the combined longitudinal-lateral vehicle control. Proc. IEEE Intelligent Vehicles Symp. (IV), Alcala de Henares, Spain.

  • Oh, C., Kang, Y. S., Youn, Y. and Konosu, A. (2008). Development of probabilistic pedestrian fatality model for characterizing pedestrian-vehicle collisions. Int. J. Automotive Technology 9, 2, 191–196.

    Article  Google Scholar 

  • Qualizza, G. K. (1993). Vehicle Collision Avoidance System. U.S. Patent No. 5,235,316.

  • Sato, T. and Akamatsu, M. (2008). Preliminary study on driver acceptance of multiple warnings while driving on highway. Proc. IEEE SICE Annual Conf., Tokyo, Japan.

  • Sengupta, R., Rezaei, S., Shladover, S. E., Misener, J. A., Dickey, S. and Krishnan, H. (2007). Cooperative collision warning systems: Concept definition and experimental implementation. J. Intelligent Transportation Systems 11, 3, 143–155.

    Article  Google Scholar 

  • Sivaraman, S. and Trivedi, M. M. (2013). Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis. IEEE Trans. Intelligent Transportation Systems 14, 4, 1773–1795.

    Article  Google Scholar 

  • Tak, S., Woo, S. and Yeo, H. (2016). Study on the framework of hybrid collision warning system using loop detectors and vehicle information. Transportation Research Part C: Emerging Technologies, 73, 202–218.

    Article  Google Scholar 

  • Takahashi, A. and Asanuma, N. (2000). Introduction of Honda ASV-2 (advanced safety vehicle-Phase 2). Proc. IEEE Intelligent Vehicles Symp., Dearborn, Michigan, USA.

  • Tan, H. S. and Huang, J. (2006). DGPS-based vehicle to vehicle cooperative collision warning: Engineering feasibility viewpoints. IEEE Trans. Intelligent Transportation Systems 7, 4, 415–428.

    Article  Google Scholar 

  • Teng, T. L., Le, T. K. and Ngo, V. L. (2010). Injury analysis of pedestrians in collisions using the pedestrian deformable model. Int. J. Automotive Technology 11, 2, 187–195.

    Article  Google Scholar 

  • Wang, P. W., Wang, L., Li, Y. H. and Guo, W. W. (2015). Improved cooperative collision avoidance (CCA) model considering driver comfort. Int. J. Automotive Technology 16, 6, 989–996.

    Article  Google Scholar 

  • You, F., Zhang, R. and Lie, G. (2015). Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system. Expert Systems with Applications 42, 14, 5932–5946.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shu-San Hsiau.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, YS., Chiu, SC. & Hsiau, SS. Safe Technology with a Novel Rear Collision Avoidance System of Vehicles. Int.J Automot. Technol. 20, 693–699 (2019). https://doi.org/10.1007/s12239-019-0065-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12239-019-0065-0

Key Words

Navigation