Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …

The empirical Bayes (EB) method addresses two problems of safety estimation: it increases
the precision of estimates beyond what is possible when one is limited to the use of a 2-to 3 …

There has been considerable research conducted over the last 20 years focused on
predicting motor vehicle crashes on transportation facilities. The range of statistical models …

This book has two objectives. The first is to teach how to fit a multivariable statistical model to
cross-sectional safety data using a simple spreadsheet. The second is to promote the …

Considerable research has been carried out in recent years to establish relationships
between crashes and traffic flow, geometric infrastructure characteristics and environmental …

Numerous efforts have been devoted to investigating crash occurrence as related to
roadway design features, environmental factors and traffic conditions. However, most of the …

Crash prediction models have been very popular in highway safety analyses. However, in
highway safety research, the prediction of outcomes is seldom, if ever, the only research …

The intent of this note is to succinctly articulate additional points that were not provided in the
original paper (Lord et al., 2005) and to help clarify a collective reluctance to adopt zero …

According to The Handbook of Tunnel Fire Safety, over 90%(55 out of 61 cases) of fires in
road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus …

The hope is that statistical models fitted to historical data can be used to estimate the effect
of road design elements on safety. Whether this can be done is not clear. A sign of trouble is …