Integrating Clarus Weather Station Data and State Crash Data into a Travel Decision Support Tool

Hill, John D.; Brooks, Colin; Erickson, Tyler; Kazoil, Ben; Endsley, K. Arthur; Michigan Tech Transportation Institute; Michigan Tech Research Institute

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Integrating Clarus Weather Station Data and State Crash Data into a Travel Decision Support Tool

2011-09-23
By Hill, John D. ; Brooks, Colin ; Erickson, Tyler ; ...

[PDF-1.39 MB]

English

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Creators:

Hill, John D. ; Brooks, Colin ; Erickson, Tyler ; Kazoil, Ben ; Endsley, K. Arthur

Hill, John D. ; Brooks, Colin ; Erickson, Tyler ; Kazoil, Ben ; Endsley, K. Arthur Less -
Corporate Creators:

Michigan Tech Transportation Institute ; Michigan Tech Research Institute

Michigan Tech Transportation Institute ; Michigan Tech Research Institute Less -
Corporate Contributors:

United States. Federal Highway Administration ; United States. Department of Transportation. Research and Innovative Technology Administration

United States. Federal Highway Administration ; United States. Department of Transportation. Research and Innovative Technology Administration Less -
Subject/TRT Terms:

[+]

Automatic Data Collection Systems Crash Avoidance Systems Crash Risk Data Collection Decision Support Tool Driver Information Systems Information Processing Information Systems Intelligent Transportation Systems Open Source Regression Research Hub Road Weather Information System Road Weather Information Systems Road Weather Management
Publication/ Report Number:

FHWA-JPO-11-162
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report; 9/24/2010-9/23/2011.
Corporate Publisher:

United States. Joint Program Office for Intelligent Transportation Systems
Abstract:

2009 crash data from the State of Michigan was combined with weather data from four Clarus weather stations in the Upper Peninsula of Michigan. Crashes were monitored within a 50 mile radius and associated with weather conditions at the Clarus station. From this data, a series of regression models were then created based on critical tipping points of weather data, as well as continuous weather observations. This provides an algorithm consisting of seven risk equations which are used under differing weather conditions. The crash risk algorithm was then combined with a time based algorithm in order to recommend a route. The relative weighting of crash risk and time is established by the user. Using an open source geospatial routing tool and open source road network software, a recommended route is defined.
Format:

PDF
Collection(s):

ITSJPO Digital Library Federal Highway Administration
Main Document Checksum:

[+]

urn:sha256:620474b74f30a59a9b81fc42c08818cb3a146bbc4900ea8df63fc9c1a4c65ae3
Download URL:

https://rosap.ntl.bts.gov/view/dot/3344/dot_3344_DS1.pdf
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No Additional Files

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Integrating Clarus Weather Station Data and State Crash Data into a Travel Decision Support Tool

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