Sentence examples for models for crash from inspiring English sources

The software contains a list of roadside safety measures (including the present value of their implementation costs and their safety effects) and an accident categorization (based on predictive models for crash frequencies and crash costs).

Those models are for crash frequency and the combined safety index.

But increasingly the standard models used for crash tests are becoming less and less like the world's population of drivers.

As the relationships between crashes, crash severity, and possible risk factors can vary depending on the type of collision, we attempt to develop separate prediction models for different crash types (i.e., single- versus multi-vehicle crashes and slight injury versus killed and serious injury crashes).

Various models for rear crash simulation exist and each has unique advantages and limitations.

To develop reliable and physically based models for the crash behaviour of composite laminates, a thorough understanding of the failure mechanisms is crucial.

Separate prediction models for total crashes and for fatal and injury crashes only were considered.

The numerical modelling and simulation methodology for crash tests, developed by Klasztorny et al. (2016), is applied.

Considering the different crash mechanisms under different congestion levels, models for the total crashes, non-congested-flow crashes and congested-flow crashes were respectively formulated based on the real-time traffic condition corresponding to each crash.

With the development of a crash prediction model for ROR crashes on rural roads with a speed limit of 80 km/h, this study aims at making a start in providing the necessary new tools for a proactive road safety policy to road administrators in the Netherlands.

Combining these predictions with predictions from a univariate statistical model for total crash counts will then enable us to predict pedestrian crash counts with the different injury severity levels.