The use of weather data to predict non-recurring traffic congestion

Dailey, Daniel J.

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The use of weather data to predict non-recurring traffic congestion

2006-08-01
By Dailey, Daniel J.

File Language:

English

Details

Creators:

Dailey, Daniel J.
Corporate Creators:

Transportation Northwest Regional Center X (TransNow) (UTC) ; Washington State Transportation Commission
Corporate Contributors:

United States. Federal Highway Administration ; University of Washington
Subject/TRT Terms:
Publication/ Report Number:

TNW2006-11 ; 61-0744
Resource Type:

Research Paper
Geographical Coverage:

United States
Edition:

Final report
Corporate Publisher:

Transportation Northwest (TransNow) UTC
Abstract:

This project will demonstrate the quantitative relationship between weather patterns and surface traffic conditions. The aviation and maritime industries use weather measurements and predictions as a normal part of operations, and this can be extended to surface transportation. While it is generally asserted that there is a causal relationship between weather and transportation systems delays, this relationship has not been quantified in a way that allows the effect on surface transportation systems to be predicted. This research has the potential to accomplish two very important things: (1) prediction of non-recurring traffic congestion and (2) prediction of conditions under which incidents or accidents can have a significant impact on the freeway system. This linkage of weather to traffic may be one of the only non-recurring congestion phenomena that can be accurately predicted. This work will create algorithms and implementations to correlate weather with traffic congestion. Furthermore, it may provide a means for traffic management to place resources proactively to clear incidents. /Abstract from report summary page/
Format:

PDF
Funding:

DTRS99-G-0010
Download URL:

https://rosap.ntl.bts.gov/view/dot/5589/dot_5589_DS1.pdf
File Type:

[PDF - 467.25 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:4b3f921786f79dd7955980e5b8c6ab3f841bad2b57f72e45e2cf6c21d0f8953f1c6b4fe1620aed7b0306280e60542a5d5380a5488124465976010a9403bae3a8

File Language:

English

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