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MRI statisticians have been an integral part
of MRI's Transportation
Engineering Group
for more than 30 years, supporting highway
and traffic safety research for the Federal Highway Administration (FHWA),
the National Cooperative Highway Research Program (NCHRP), and state
highway agencies. MRI
is one of the leading centers for incorporating innovative statistical
approaches into the analysis of traffic accident data. Our research
includes:
- Developing statistical models of at-grade intersection
accidents as a function of highway geometrics and traffic volume,
using Poisson and negative binomial models
- Developing statistical models of accidents on interchange
ramps and speed-change lanes to explore relationships between traffic
accidents, interchange ramp geometric design, and traffic volumes,
using Poisson and negative binomial models
- Applying innovative statistical before-after methods,
such as the empirical Bayes approach, to evaluate the safety effectiveness
of intersection design improvements
- Applying innovative statistical methods to identify
high-accident locations
- Conducting statistical research and analysis for
traffic engineering programs involving traffic conflict and accident
relationships, traffic safety problems on rural
two-lane highways, technological advances for the deterrence of speeding,
accident reduction benefits of clear recovery zones, and predictor
models for seasonal variation in pavement skid resistance
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Highway
Safety/Accident Analysis