A method of comparing two acceleration time histories to determine whether they describe similar physical events is described. The method can be used to assess the repeatability of full-scale crash tests and it can also be used as a criterion for assessing how well a finite-element analysis of a collision event simulates a corresponding full-scale crash test. The method is used to compare a ser...

We study a rational expectation model of bubbles and crashes. The model has two components: (1) our key assumption is that a crash may be caused by local self-reinforcing imitation between noise traders. If the tendency for noise traders to imitate their nearest neighbors increases up to a certain point called the “critical” point, all noise traders may place the same order (sell) at the same t...

The objective of this study is to develop a post-impact vehicle stability control system that regulates both heading angle and lateral deviation from the original driving path, so that the severity of possible subsequent (secondary) crashes can be reduced. To characterize the vehicle motion after a crash event, an impact force estimation method and a vehicle motion prediction scheme are propose...

Topological data analysis has been acknowledged as one of the most successful mathematical analytic methodologies in various fields including medicine, genetics, and image analysis. In this paper we explore potential methodology finance by applying persistence landscape dynamic time series to analyze an extreme event stock market, known Flash Crash . We will provide results our empirical invest...

We study a rational expectation model of bubbles and crashes. The model has two components : (1) our key assumption is that a crash may be caused by local self-reinforcing imitation between noise traders. If the tendency for noise traders to imitate their nearest neighbors increases up to a certain point called the “critical” point, all noise traders may place the same order (sell) at the same ...

We study a rational expectation model of bubbles and crashes. The model has two components : (1) our key assumption is that a crash may be caused by local self-reinforcing imitation between noise traders. If the tendency for noise traders to imitate their nearest neighbors increases up to a certain point called the “critical” point, all noise traders may place the same order (sell) at the same ...

PROBLEM The driver celeration behavior theory predicts that celerations are associated with incidents for which the driver has some responsibility in causing, but not other incidents. METHOD The hypothesis was tested in 25 samples of repeated measurements of bus drivers' celeration behavior against their incidents for two years. RESULTS The results confirmed the prediction; in 18 samples, t...

Citation for published version: Roozenbeek, B, Lingsma, HF, Lecky, FE, Lu, J, Weir, J, Butcher, I, McHugh, G, Murray, GD, Perel, P, Maas, AI, Steyerberg, EW & Trauma Audit Res Network TARN, Int Mission Prognosis Anal Clinica, Corticosteroid Randomisation After 2012, 'Prediction of outcome after moderate and severe traumatic brain injury: external validation of the International Mission on Progn...

This study proposes a preemptive steering control strategy that takes into consideration post-impact vehicle stability. To reduce the risk of subsequent crashes after an initial impact, sufficiently fast decision and control are desired for stabilizing the vehicle motion. As opposed to active steering systems for lane or path tracking, the proposed control system needs to assess the strength of...