Views provided by UsageCounts
{"references": ["Ankita K. Patil and V. L. Kadlag(2016), \"Design of Wheel Alignment Measuring System using Infrared Transmissions\", Int. J. of Tech. Res. and Appl., ISSN: 2320-8163, Volume 4, Issue 5, pp. 4-6, Available at https://www.ijtra.com/view/design-of-wheel-alignment-measuring-system-using-infrared-transmissions.pdf?paper=design-of-wheel-alignment-measuring-system-using-infrared-transmissions.pdf.", "Shweta G. Barhe and Balaji G. Gawalwad (2016), \"Measurement of Wheel Alignment using IR Sensor\", Int. of J. of Eng. Technol., Mgnt. and Appl. Sci., ISSN: 2320-9801, Volume 4, Issue 5, pp. 8689-8693, Available at http://www.ijircce.com/upload/2016/may/124_Measurement_new.pdf.", "Balakrishnan.T, Hariraman.R, Jayachandran. R and Jayasri Meenachi V (2016), \"Vehicle Integrated Wheel Alignment Alert System\", Int. J. of Sci. and Eng. Res., ISSN 2229-5518, Volume 7, Issue 5, pp. 79-81, Available at https://www.ijser.org/researchpaper/VEHICLE-INTEGRATED-WHEEL-ALIGNMENT-ALERT-SYSTEM.pdf.", "Sonali Chatur (2015), \"Computer based Wireless Automobile Wheel Alignment System using Accelerometer\", Int. of J. of Eng. and Sci., ISSN: 2319 \u2013 1813, Corpus ID: 56766286 , Volume 4, Issue 9, pp. 2319 \u2013 1805, Available at http://www.theijes.com/papers/v4-i9/L049062069.pdf.", "Sonali Chatur (2015), \"Computer based Wireless Automobile Wheel Alignment System using Accelerometer\", Int. of J. of Eng. and Sci., ISSN: 2319 \u2013 1813, Corpus ID: 56766286 , Volume 4, Issue 9, pp. 2319 \u2013 1805, Available at http://www.theijes.com/papers/v4-i9/L049062069.pdf.", "Nirmalkumar N. Salave and Pravin L. Sarode (2017), \"Experimental Study on Wheel Alignment of TATA Motors Heavy Commercial Vehicle\", Int. J. of Latest Eng. Res. and Appl., Volume 2, Issue 6, pp. 64-70, Available at http://www.ijlera.com/papers/v2-i6/11.201705310.pdf.", "Jieh-Shian Young, Hong-Yi Hsu and Chih-Yuan Chuang (2017), \"Camber Angle Inspection for Vehicle Wheel Alignments\", Sensor, Volume 17, Issue 2, pp. 285, Available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336001/.", "Jin Xu, Wei Lin and Yiming Shao (2017), \"New Design Method for Horizontal Alignment of Complex Mountain Highways Based on (Trajectory-Speed) Collaborative Decision\", Adv. in Mech. Eng., Volume 9, Issue 4, pp. 1-18, Available at https://doi.org/10.1177/1687814017695437.", "Sang Wook Lee, K. M. Jeong, Kee-Woon Kim and Jang Hyeon Kim (2018), \"Numerical Estimation of the Uneven Wear of Passenger Car Tires\", World J. of Eng. and Tech., ISSN: 2331-4222, Volume 6, Issue 4, pp. 780-793, DOI: 10.4236/wjet.2018.64051."]}
The effect of wheel alignment and fuel performance of light vehicle with consideration of the road and tire conditions are investigated experimentally. A computerized machine vision based wheel alignment measuring system is used to detect the misalignment of the vehicle and the fuel consumption of ECHO PLUS- 2ZZ-GE-02 model light vehicle is analyzed before and after wheel alignment. The experimental results show that the wheel alignment and fuel performance of the vehicle depends on tire wear, tire size and road conditions. It is found that the proper wheel alignment can improve the safety of the suspension system components and reduces the tire wear and increases the mileage of the vehicle and also provides driver operating satisfaction. The analysis of the result also reveals that the manufacture’ standard tire tread, proper tire size and recommended speed limit can significantly improve the fuel performance, whereas unusual tire wear, improper tire size and over the speed limit can greatly reduce the fuel performance and increasing the wheel misalignment.
Computerized machine vision, fuel performance, light vehicle, tire condition, wheel alignment, http://matjournals.com/Engineering-Journals.html
Computerized machine vision, fuel performance, light vehicle, tire condition, wheel alignment, http://matjournals.com/Engineering-Journals.html
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 |

Views provided by UsageCounts