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(ominous music)

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(engine revving)

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- [Presenter] Research shows
that speeding and weather

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are often factors in
crashes on rural roadways.

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A recent project conducted

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by the Texas A&M Transportation Institute

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has closely analyzed current
crash prediction methods,

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and the data that supports them.

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From the recommended model enhancements,

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researchers developed an interactive,

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real time web-based tool

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to be used for safety prediction

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and improvements on these rural roadways.

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- A lot of the situations
that we as safety engineers

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around the state, within the district,

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we have a lot of tools

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that we use to look at
particular sections of roadway

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or particular areas on a network

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that need to be identified

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for additional safety improvements.

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- We have the Highway Safety Manual

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and Texas based model that does
not have operational measure

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such as speed and weather
information in the model.

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So this particular project we added

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this two variable in the model.

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And also we developed
a Decision-Support Tool

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that provide us information
on the rix areas

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so that duty can take care.

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- This tool is kind of like a dashboard

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or network screening to give us an idea

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using those two variables
of where to look at

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places to identify
additional safety needs.

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It developed an interactive
tool that is really easy to use,

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user friendly, it's web-based

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so you don't need additional software,

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and it's going to be
tremendously beneficial

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just in that aspect alone.

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- And it helps to check down
the area where need more kind

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of improvement and where
we need to take care of it.

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So for example, if we
take a look at the tool

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it has several dropdown panels

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and we can select districts,
we can select a county

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from a district and we can
also select the facility type.

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And from there we can select

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whether which type of
crash we are interested,

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either we are interested in
the total crash or maybe severe

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and federal crashes or
knowing duty or PDO crashes.

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So when we select everything
and then refresh the map

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then it will generate an interactive map

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in the heat map format.

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And also it will produce
the precise dataset

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associated with it so that we
can also download the data.

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- So couple of the next steps

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are to incorporate the most current data,

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real time data, weather,
speeds, crash data,

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volumes and all of that that is used.

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And then the next step would
be rolling it out to districts

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and providing them the
ability to get on this tool

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and use it, give them a
little bit of assistance

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if they need it.

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It's really user friendly,

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but be there to support them in that,

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in the use of this tool.

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And then lastly, our goal
would be to get a similar tool

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to be used for urban facilities
in the State of Texas.

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- For more information, and
to find the publications

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for this project, please
visit the tex.researchlibrary

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at the link shown below.