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Data · dataset · 2017

Intelligent Network Flow Optimization Prototype Traffic Management Entity-Based Queue Warning

Listed in U.S Department of Transportation

Data is from the small-scale demonstration of the Intelligent Network Flow Optimization (INFLO) Prototype System and applications in Seattle, Washington.

Description

Connected vehicle systems were deployed in 21 vehicles in a scripted driving scenario circuiting this I-5 corridor northbound and southbound during morning rush hour. This data set contains queue warning messages that were recommended by the INFLO Q-WARN algorithm and sent by the traffic management center to vehicles to warn drivers upstream of the queue.

The objective of queue warning is to provide a vehicle operator sufficient warning of impending queue backup in order to brake safely, change lanes, or modify route such that secondary collisions can be minimized or even eliminated.

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Stated by source
Automobiles
From keywords
Engineering
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
U.S Department of Transportationfnkc-y5dk13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · data transportation govconnector:data_transportation_gov@1.0.0
concepts[field].local:field:engineeringmapping · data transportation govconnector:data_transportation_gov@1.0.0
concepts[topic].socrata_category:data_transportation_gov:automobilessource · data transportation govconnector:data_transportation_gov@1.0.0
created_datesource · data transportation govconnector:data_transportation_gov@1.0.0
descriptionsource · data transportation govconnector:data_transportation_gov@1.0.0/resource/description
license_textsource · data transportation govconnector:data_transportation_gov@1.0.0
publication_datesource · data transportation govconnector:data_transportation_gov@1.0.0
titlesource · data transportation govconnector:data_transportation_gov@1.0.0/resource/name
updated_datesource · data transportation govconnector:data_transportation_gov@1.0.0