The use of weather data to predict non-recurring traffic congestion
-
2006-08-01
Details
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
TRIS Online Accession Number:1042068
-
Edition:Final report
-
Corporate Publisher:
-
NTL Classification:NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow ; NTL-PLANNING AND POLICY-PLANNING AND POLICY
-
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:
-
Alternate URL:
-
Funding:
-
Collection(s):
-
Main Document Checksum:urn:sha256:39b090491d4881818b5043dd5da03af06d7a129d5429d2278c87aa9b1e34b226
-
Download URL:
-
File Type: