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The fully loaded trailer is more prone to rollover than the front-loaded and unloaded cases. The side-loaded condition yields the lowest critical rollover speed (CRS). Beyond the trailers' dynamics, unloaded and side-loaded conditions result in lower dolly tip-up speeds, compared with the other load conditions. The simulation results of a 150-ft J-turn manoeuvre indicate that front-and side-loading of the rear trailer leads to the largest load transfer ratio (LTR) and tip-up, compared with loaded and unloaded conditions. Four loading conditions are considered: empty, side-loaded, front-loaded, and fully-loaded. The model parameters are determined based on measurements and test data, and the model is validated using track data. The effect of partial loading on the wheel tip-up and rollover stability of 28-ft A-double tractor-trailers is studied using TruckSim®. The heavy vehicle speed was also found to have a strong correlation to the lateral acceleration (to cause a rollover), followed by gross vehicle weight, coefficient of friction and cornering radius, respectively. From the unsafe conditions, two types of rollover accidents could be identified, which were un-tripped and tripped rollovers.
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The results showed that a maximum of 40% and a minimum of 23% from the total number of simulations resulted in an unsafe condition (indicated as failed) during the simulations.
#Stts trailers software
In order to reduce the risks involved in usage of actual heavy vehicles in crash experiments, a simulation approach using a multi-body vehicle dynamic software was applied in this study, where the verified virtual heavy vehicle model was simulated and the output results were extracted and analyzed. Vehicle conditions include the heavy vehicle class (based on the axle number and vehicle type), speed and gross vehicle weight, while road conditions include the cornering radius and coefficient of friction values. Thus, in this paper, a comprehensive study was conducted to investigate the effects of vehicle and road conditions on rollover of commercial heavy vehicles during cornering at curved road sections. Rollover accidents may also incur cargo damages and cause environmental or human disasters for vehicles that carry hazardous cargos if these contents are spilled. However, heavy vehicles have been reported to be involved in 30,000–40,000 accidents yearly and caused significantly more fatalities. Heavy vehicles make up a relatively small percentage of traffic volume on Malaysian roads compared to other vehicle types. Similarly it is shown that the predicted values of the LTR are close to the simulated ones, and hence the proposed approach is potentially suitable as the basis for application in rollover threat assessment. It is shown that the identified parameter values are close to the actual ones used in detailed simulation study. The proposed predictive model and the associated parameter-identification algorithm are verified using a 12-degree-of-freedom vehicle model. Using this predictive model, the predicted Load Transfer Ratio (LTR) for the trailer axle can be determined as the rollover threat index.
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The predictive model is established using simple roll-plane models of the vehicle sprung and unsprung masses in conjunction with online vehicle parameter identification.
#Stts trailers driver
The purpose of this model is to predict the rollover threat sufficiently in advance of the actual event so as to enable the driver to react accordingly. The carrier may actually have higher levels of coverage.Summary A predictive model to determine a rollover threat index associated with tractor-semitrailers is proposed. * If a carrier is in compliance, the amount of coverage will always be shown as the required Federal minimum ($5,000 per vehicle, $10,000 per occurrence for cargo insurance and $75,000 for bond/trust fund).