Integrated Modeling for Road Condition Prediction (IMRCP) [FHWA-JPO-17-602]

Pisano, Paul

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Integrated Modeling for Road Condition Prediction (IMRCP) [FHWA-JPO-17-602]

2018-01-17
By Pisano, Paul

File Language:

English

Details

Creators:

Pisano, Paul
Corporate Creators:

United States. Department of Transportation. Road Weather Management
Subject/TRT Terms:
Publication/ Report Number:

FHWA-JPO-17-602
Resource Type:

Brief
Geographical Coverage:

United States ; Kansas ; Missouri
Corporate Publisher:

United States. Dept. of Transportation. Road Weather Management
Abstract:

Intelligent transportation system deployments have enabled great advances in operational awareness and response based on the data they gather on the current state of the roadways. Operators have better access to traffic and weather condition information, enabling them to make more informed decisions and respond more quickly to events. Winter maintenance crews have more accurate and complete data on which to base their treatment plans and plow routes allowing them to establish safer roads for travelers though efficient decision-making. Information about traffic and weather events is also provided to travelers, who are enabled to adjust their own travel behaviors.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/34717/dot_34717_DS1.pdf
File Type:

[PDF - 1.78 MB]
Collection(s):

ITSJPO Digital Library
Main Document Checksum:

urn:sha256:d830ce216500e8e89e6652df5f8fd97b12c7907034620a55e766c634f17d2fdb

Integrated Modeling for Road Condition Prediction (IMRCP) [FHWA-JPO-17-601]

Intelligent transportation system deployments have enabled great advances in operational awareness and response based on the data they gather on the c ...

Pisano, Paul
Integrated Modeling for Road Condition Prediction [Final Report]

Transportation Systems Management and Operations (TSMO) is at a critical point in its development due to an explosion in data availability and analyti ...

Garrett, J. Kyle ;

Mahmassani, Hani S.

File Language:

English

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