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Monte Carlo simulation is used to determine the likelihoods of competing scenarios offered by opposing parties involved in a motor vehicle accident. A case study is presented in which there is a dispute among the parties about who passed who first. It is shown that even though both scenarios are possible, one of the scenarios has a much greater likelihood. Besides demonstrating how Monte Carlo simulation provides probability information that can be used to weigh the likelihood of competing scenarios, the case study also provides another example of how Monte Carlo simulation can dig information out of the evidence surrounding an accident that cannot be obtained by other methods.

This paper studies the performance benefits attainable by application of an advanced brake controller. This brake controller is optimal in the sense that it determines the wheel slips that provide the maximum level of deceleration while maintaining a specified level of directional stability. It determines target wheel slips for each wheel individually. The performance of the controller is compared to the performance of a more restricted controller that determines only one target wheel slip for the front tires and only one target wheel slip for the rear tires.

A set of rules is derived that can be used to determine effective choices for the wheel slips to be maintained at the wheels of a vehicle that has the capability to control its wheel slip levels. The determined wheel slips will be effective at enhancing the stability of the vehicle.

This paper examines how a human torso rebounds from seats in low to moderate speed collisions. A torso model and a seat model are combined and numerical integration is used to predict the response characteristics.