TY  - JOUR
T1  - Development of Driver Analysis System to Improve Driving Comfort and to Reduce Mechanical Abrasion in Vehicles
TT  - Development of Driver Analysis System to Improve Driving Comfort and to Reduce Mechanical Abrasion in Vehicles
AU  - Bogrek, Ahmet
AU  - Sumbul, Harun
PY  - 2019
DA  - November
DO  - 10.35354/tbed.509560
JF  - Teknik Bilimler Dergisi
PB  - Isparta Uygulamalı Bilimler Üniversitesi
WT  - DergiPark
SN  - 2146-2119
SP  - 9
EP  - 14
VL  - 9
IS  - 3
LA  - tr
AB  - The purpose of this study is; to develop asystem that can detect road disturbances and can warn the driver. For thispurpose, a measurement method which tracking as a 3-axis of the road situationwith a semiconductor MEMS-based accelerometer has been developed to be used todetect vehicle vibration and drive conditions which has a serious effect on thedriving quality of the road. With the developed measuring system, road wear andtear can be successfully reported. Thanks to theimproved system, the driver can also be warned by detecting vehicle suspensiondamage. In addition, a driver performance report may be drawn up under theproject that is very important for fleet and service owners (universities,municipalities and other similar public and corporate entities). Thus, thedamage caused by the bad use of the vehicles can be reduced to the minimum; theoperating costs can be reduced.The sensor on the measurement card developed for thispurpose is placed at the lower control arm portion point of the vehicle to beused in the test drives (Renault Thalia II/Symbol brand 2012 model). A testing roadwith a length of 135 meters was constructed and test runs were carried out atdifferent speeds (10km/h, 20 km/h, 30 km/h, 40 km/h and 50 km/h). 7 bumps withvarying dimensions were placed on the created road route at intervals of 5meters. The obtained data were recorded on the SD card and then analyzed in theMatlab program by filtering it from the noise. A total of 2099 data wereanalyzed. As a result, driver performances can be categorized successfully(Normal, Medium, Bad, Very Bad, Very Very Bad) for each test drive according tothe speed and condition of the road bumps. Sound and light stimulation of thedriver when the bulge and the pit are entered in the test runs repeated in theresult of the determined threshold acceleration value after the referencedriving has also been successfully achieved.
KW  - Accelerometer
KW  - microprocessor
KW  - road analysis
KW  - shock absorber
KW  - abrasion
N2  - The purpose of this study is; to develop a system that can detect roaddisturbances and can warn the driver. For this purpose, a measurement methodwhich tracking as a 3-axis of the road situation with a semiconductorMEMS-based accelerometer has been developed to be used to detect vehiclevibration and drive conditions which has a serious effect on the drivingquality of the road. With the developed measuring system, road wear and tearcan be successfully reported. Thanks to the improved system, the driver can also bewarned by detecting vehicle suspension damage. In addition, a driverperformance report may be drawn up under the project that is very important forfleet and service owners (universities, municipalities and other similar publicand corporate entities). Thus, the damage caused by the bad use of the vehiclescan be reduced to the minimum; the operating costs can be reduced.The sensor on the measurement card developed for thispurpose is placed at the lower control arm portion point of the vehicle to beused in the test drives (Renault Thalia II/Symbol brand 2012 model). A testing roadwith a length of 135 meters was constructed and test runs were carried out atdifferent speeds (10km/h, 20 km/h, 30 km/h, 40 km/h and 50 km/h). 7 bumps withvarying dimensions were placed on the created road route at intervals of 5meters. The obtained data were recorded on the SD card and then analyzed in theMatlab program by filtering it from the noise. A total of 2099 data wereanalyzed. As a result, driver performances can be categorized successfully(Normal, Medium, Bad, Very Bad, Very Very Bad) for each test drive according tothe speed and condition of the road bumps. Sound and light stimulation of thedriver when the bulge and the pit are entered in the test runs repeated in theresult of the determined threshold acceleration value after the referencedriving has also been successfully achieved.
CR  - [1]	S.A.T. Van Veen, S. Hiemstra-van Mastrigt, I. Kamp, P. Vink, “Improving car passengers' comfort and experience by supporting the use of handheld devices” Work., vol. 49, no. 2, pp:215-23, 2014.
CR  - [2]	M. C. Coelho, G. Torrão, N. Emami, and J. Grácio, “Nanotechnology in Automotive Industry: Research Strategy and Trends for the Future-Small Objects, Big Impacts”, Journal of Nanoscience and Nanotechnology., vol. 12, no.8, pp:6621-30, August 2012.
CR  - [3]	S. Cetinkaya, “Taşıt Mekaniği”, 5th ed. Intanbul, Turkey: Nobel Publishing, 2010.
CR  - [4]	H. Bayrakçeken, M. Yeşilirmak, “Taşıtlarda ivmenin etkileri ve ivme ölçümleri” in Proc., IATS’09, pp: 2013-2016, 2009.
CR  - [5]	A. Pothole [Online]. Available: http://www.log.com.tr/googledan-yol-cukurlarini-tespit-eden-sensor-teknolojisi/, 2017.
CR  - [6]	C. C. Yang, and Y. L.Hsu, “A review of accelerometry-based wearable motion detectors for physical activity monitoring”, Sensors, vol. 10, pp: 7772-7788, 2010.
CR  - [7]	R. T. Jacob, Z. A. A. Manjiyani, and K. Kumar, “Development of MEMS based 3-axis accelerometer for hand movement monitoring”, International Journal of Computer Science and Engineering Communications- IJCSEC. Vol. 2, no.1, pp:88-92, 2014.
CR  - [8]	M. E. Özçeneci, “Mems sensor based underwater ahrs (attitude and heading reference system) aided by compass and pressure sensor”, Thesis of Master of Science in Electrical and Electronics Engineering Department, Middle East Technical University, Ankara, Türkiye, 2012.
CR  - [9]	H. J. Luinge, and P. H. Veltink, “Measuring orientation of human body segments using miniature gyroscopes and accelerometers”, Medical & Biological Engineering & Computing, vol.43, no:2, pp: 273-282, 2005.
CR  - [10]	Q. T. Huynh, U. D. Nguyen, S. V. Tran, A. Nabili, and B. Q. Tran, “Fall detection system using combination accelerometer and gyroscope”, Proc. of the Second Intl. Conf. on Advances in Electronic Devices and Circuits EDC 2013. Kuala Lumpur, Malaysia, 2013.
CR  - [11]	M. S. Amin, M. B. I. Reaz, S. S. Nasir, M. A. S. Bhuiyan, and M. A. M. Ali, “A novel vehicle stationary detection utilizing map matching and IMU sensors”, The Scientific World Journal, vol.13, 2014.
CR  - [12]	M. S. M. Aras,  M. F. Basar,  S. S. Abdullah, F.A. Azis, and F.A. Ali, “Analysis movement of unmanned underwater vehicle using the inertial measurement unit”, International Journal of Emerging Science and Engineering (IJESE), vol.1, no.10, pp: 47-53 , 2013.
CR  - [13]	H. Sümbül,  A. Böğrek, “Development of The Road Analysis System to Provide The Fuel Efficiency Awareness in the Vehicles”, Bilge International Journal of Science and Technology Research, vol. 1 (Special Issue): pp: 6-9, 2017.
CR  - [14]	[Online]. Available: Analog Devices Digital Accelerometer ADXL345,http://www.sparkfun.com/datasheets/Sensors/Accelerometer/ADXL345.pdf, 2018.
CR  - [15]	J. Gardulski, “Badania diagnostyczne amortyzatorów”, Diagnostyka, vol. 2, no.38, pp:187-198, 2006.
CR  - [16]	J. Tatlow, and M. Ballatore, “Road noise input identification for vehicle interior noise by multi-reference transfer path analysis”. Procedia Engineering, Vol.199, pp:3296-3301, 2017.
UR  - https://doi.org/10.35354/tbed.509560
L1  - http://dergipark.org.tr/tr/download/article-file/845601
ER  -