Safety problems in vehicles with adaptive cruise control system

Open access

Abstract

In today’s world automotive industries are still putting efforts towards more autonomous vehicles (AVs). The main concern of introducing the autonomous technology is safety of driver. According to a survey 90% of accidents happen due to mistake of driver. The adaptive cruise control system (ACC) is a system which combines cruise control with a collision avoidance system. The ACC system is based on laser and radar technologies. This system is capable of controlling the velocity of vehicle automatically to match the velocity of car, bus or truck in front of vehicle. If the lead vehicle gets slow down or accelerate, than ACC system automatically matches that velocity. The proposed paper is focusing on more accurate methods of detecting the preceding vehicle by using a radar and lidar sensors by considering the vehicle side slip and by controlling the distance between two vehicles. By using this approach i.e. logic for calculation of former vehicle distance and controlling the throttle valve of ACC equipped vehicle, an improvement in driving stability was achieved. The own contribution results with fuel efficient driving and with more safer and reliable driving system, but still some improvements are going on to make it more safe and reliable.

[1] Benhard K. et al.: Slipstream Cooperative Adaptive Cruise Control, a conceptual ITS application for electric Vehicle. Proceedings of the IEEE Vehicle Conference, pp. 1-5, Greenville, USA, 2012.

[2] Dang R., et al: Coordinated cruise control system with lane change assistance. IEEE Transaction on Intelligent Transportation System, vol.16, no 5, pp. 2373-2383, 2015.

[3] Jing-Liang L., Zhao-du L.: Design of ACC controller based on double level mamdani reasoning. Proceedings of the 2nd WRI Global Congress on Intelligent Systems, vol.02, pp. 233-237, China, 2009.

[4] Lumb M. et al.: Efficient lane detection algorithm using different filtering techniques. International Journal of Computer Applications, vol.88, no 3, pp.6-11, India, 2014.

[5] Miyata S., et al.: Improvement of Adaptive Cruise Control Performance: EURASIP Journal on Advances in Signal Processing, vol. 2010, pp.1-8, Japan, 2010.

[6] Pananurak W. et al.: Adaptive cruise control for an intelligent vehicle. Proceedings of the IEEE International Conference on Robotics and Biomimetic, pp. 1794-1799, Thailand, 2008.

[7] Sankar V.: Review on adaptive cruise control in automobiles. International Journal of Mechanical and Robotics Research, vol. 3, no. 2, pp. 405-409, 2014.

[8] Shakouri P. & Ordys A.: Adaptive Cruise Control using balanced based adaptive control technique. Proceedings of the IEEE International Conference on Methods & Models in Automation & Robotics (MMAR 2012), pp. 510-515, Międzyzdroje, Poland, 2012.

[9] Stanton N.A.: Detection of new in path targets by drivers using stop and go Adaptive Cruise Control. Journal of Elsevier, vol.42, issue 4, pp. 592-601, 2010.

[10] Winkle T.: Development and approval of automated vehicles: consideration of technical, legal and economic risks. Springer, Autonomous Driving, (1), pp. 589-618, 2016.

Journal of KONBiN

The Journal of Air Force Institute of Technology

Journal Information


CiteScore 2017: 0.21

SCImago Journal Rank (SJR) 2017: 0.163
Source Normalized Impact per Paper (SNIP) 2017: 0.320

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 624 624 72
PDF Downloads 109 109 26