PROBABILISTIC MODEL FOR ASSESSING ACCIDENT RATES

Assessing Heavy - Vehicle Accident Rates for Marginal Cost Calculations

A Tobit Model of Vehicle Accident Rates

In recent years, there has been an abundance of research that has used Poisson models and its variants (negative binomial and zero-inflated models) to improve our understanding of the factors that affect accident frequencies on roadway segments. This study explores the application of an alternate method, tobit regression, by viewing vehicle accident rates directly (instead of frequencies) as a ...

a time series model for assessing the trend and forecasting the road traffic accident mortality

conclusions there was a decreasing trend in the study and the future years. it seems that implementation of some interventions in the recent decade has had a positive effect on the decline of rta fatalities. nevertheless, there is still a need to pay more attention in order to prevent the occurrence and the mortalities related to traffic accidents. results the mean age of the victims was 37.22 ...

An Integrated Probabilistic Model for Assessing a Nanocomponent’s Reliability

We construct an integrated probabilistic model to capture interactions between atoms of a nanocomponent. We then use this model to assess reliabilities of nanocomponents with different structures. Several properties of our proposed model are also described under a sparseness condition. The model is an extension of our previous model based on Markovian randomfield theory. The proposed integrated...

Achievable Rates for Probabilistic Shaping

For a layered probabilistic shaping (PS) scheme with a general decoding metric, an achievable rate is derived using Gallager’s error exponent approach. Several instances for specific decoding metrics are discussed, including bit-metric decoding, interleaved coded modulation, and hard-decision decoding. It is shown that important previously known achievable rates can also be achieved by layered ...