Standardization of a Test Track Surface for Use During Vehicle Noise Testing

1991 ◽  
Author(s):  
Ulf Sandberg
2019 ◽  
Vol 5 (1) ◽  
pp. 99-105
Author(s):  
Singgih Aji Wibowo ◽  
Dena Hendriana

Tires adhesion on the wet surface between the road surface and vehicle tires is one of the requirement from ECE Regulation No.117 for tires sold in European countries. When tested on a specified test track, tires will be tested and compared the test results with standard reference test tires (SRTT). As a result, the performance index from measured tires is given and indicated by a wet grip index (G). ECE Regulation R117 specifies the wet grip index at a level of water depth between 0.5 and 1.5 mm on the test track surface [1]. The measurements can be done using a simple 150 mm steel ruler with the graduation of 0.5 mm. Before measuring, the tip of steel ruler is polished with Kolor Kut to show the different color when ruler tip is dipped into the water perpendicularly. Then record the data for monitoring the water depth of the test track. Since ECE Regulation R117 specifies the water depth at 1.0 mm +/- 0.5 mm, then it will need a measuring device which has a graduation of less than 0.5 mm. For this reason, we develop a tool for measurements water depth which able to show measurements of one-tenth of a millimeter.


Author(s):  
Thomas A. Ranney ◽  
Joanne L. Harbluk ◽  
Larry Smith ◽  
Kristen Huener ◽  
Ed Parmer ◽  
...  

1973 ◽  
Vol 1 (4) ◽  
pp. 354-362 ◽  
Author(s):  
F. R. Martin ◽  
P. H. Biddison

Abstract Treads made with emulsion styrene-butadiene copolymer (SBR), solution SBR, polybutadiene (BR), and a 60/40 emulsion SBR/BR mixture were built as four-way tread sections on G78-15 belted bias tires, which were driven over both concrete and gravel-textured highways and on a small, circular, concrete test track. The tires were front mounted. When driven on concrete highway, all except the BR tread had either crumbled- or liquid-appearing surfaces, thought to have been formed by mechanical degradation or fatigue. When cornered on concrete, these materials formed small cylindrical particles or rolls. The BR tread had a smooth, granular-textured surface when driven on concrete highway and a ridge or sawtooth abrasion pattern when cornered on concrete. All the materials appeared rough and torn when run on gravel-textured highway. The differences in wear surface formed on BR tread and the other three are thought to be due primarily to the relatively high resilience of BR.


2014 ◽  
Vol 13 (10) ◽  
pp. 2487-2495 ◽  
Author(s):  
Santiago E. Paje ◽  
Victor F. Vazquez ◽  
Fernando Teran ◽  
Urbano Vinuela

2007 ◽  
Author(s):  
James Paunicka ◽  
Doug Stuart ◽  
Patrick Stokes ◽  
Don Wilson ◽  
Andrew Vandivort ◽  
...  

2009 ◽  
Author(s):  
Gregory Hansen ◽  
Edwin A. Frame ◽  
Eric Sattler

2016 ◽  
Author(s):  
Jennifer C. Underwood ◽  
◽  
Ronald W. Harvey ◽  
David W. Metge ◽  
Denis R. LeBlanc

Author(s):  
Xing Xu ◽  
Minglei Li ◽  
Feng Wang ◽  
Ju Xie ◽  
Xiaohan Wu ◽  
...  

A human-like trajectory could give a safe and comfortable feeling for the occupants in an autonomous vehicle especially in corners. The research of this paper focuses on planning a human-like trajectory along a section road on a test track using optimal control method that could reflect natural driving behaviour considering the sense of natural and comfortable for the passengers, which could improve the acceptability of driverless vehicles in the future. A mass point vehicle dynamic model is modelled in the curvilinear coordinate system, then an optimal trajectory is generated by using an optimal control method. The optimal control problem is formulated and then solved by using the Matlab tool GPOPS-II. Trials are carried out on a test track, and the tested data are collected and processed, then the trajectory data in different corners are obtained. Different TLCs calculations are derived and applied to different track sections. After that, the human driver’s trajectories and the optimal line are compared to see the correlation using TLC methods. The results show that the optimal trajectory shows a similar trend with human’s trajectories to some extent when driving through a corner although it is not so perfectly aligned with the tested trajectories, which could conform with people’s driving intuition and improve the occupants’ comfort when driving in a corner. This could improve the acceptability of AVs in the automotive market in the future. The driver tends to move to the outside of the lane gradually after passing the apex when driving in corners on the road with hard-lines on both sides.


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