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Journal Article

A Multi-Objective LMI-Based Antiroll Control System

2012-09-24
2012-01-1904
A long standing problem with heavy vehicle stability has been rollover. With the higher center of gravity, heavier loads, and narrower tracks (as compared to passenger vehicles), they have a lower rollover stability threshold. In this paper, a rollover stability control algorithm based on a two-degrees-of-freedom (DOF) and a three-DOF vehicle model for a two-axle truck was developed. First, the 3DOF model was used to predict the future Lateral load Transfer Rate (LTR). Using this LTR value, the dynamic rollover propensity was estimated. Then, a robust output feedback gain control rollover stability control algorithm based on the combination of active yaw control and active front steering control was developed. A H₂/H∞/poles placement multi-objective control strategy was developed based on the 2DOF reference model.
Book

Event Data Recorders

2008-04-01
This book contains 28 landmark papers, providing a comprehensive look at event data recorder (EDR) technology for cars, light trucks, and heavy vehicles. By collecting EDR data, vehicle safety trends can be established, providing car companies, researchers, and regulators with science-based methods to better understand vehicle crashes. In addition to classic and cutting-edge papers, the book features insightful materials on the new National Highway Traffic Safety Administration (NHTSA) Final Rule on Event Data Recorders (49 CFR, Part 563), including the rule itself, a summary, and the response to petitions for reconsideration.
Technical Paper

FMCSA's Advanced System Testing Utilizing a Data Acquisition System on the Highway

2011-09-13
2011-01-2293
The mission of the Federal Motor Carrier Safety Administration (FMCSA) is to reduce crashes, injuries, and fatalities involving commercial vehicles [1]. According to the FMCSA, the development, evaluation, and deployment of advanced safety technology will be a key to realizing this goal. Currently, there are many safety systems in development that have the potential to significantly reduce crashes on our nation's roadways. For a variety of reasons, the potential benefits that these systems may provide in reducing crashes may never be realized. The Virginia Tech Transportation Institute (VTTI), in cooperation with FMCSA, has developed a program to evaluate promising safety technologies aimed at commercial vehicle operations (CVO). The objective of FMCSA's Advanced System Testing Utilizing a Data Acquisition System on the Highway (FAST DASH) program is to perform quick turnaround and independent evaluations of promising CVO safety technologies.
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