Safety problems in vehicles with adaptive cruise control system

Author:

Yadav Arun K.1,Szpytko Janusz1

Affiliation:

1. AGH University of Science and Technology , Krakow , Poland

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Safety, Risk, Reliability and Quality

Reference10 articles.

1. [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. [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. [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. [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. [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.

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