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Intelligent Network Flow Optimization Prototype Traffic Management Entity-Based Queue Warning
OwnerUS Department of Transportation - view all
Update frequencyunknown
Last updated8 months ago
Format
Overview

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

application-messagearterialbattellededicated-short-range-communication-dsrcfield-testfreewayi-5intelligent-network-flow-optimization-inflointelligent-transportation-systems-itsits-joint-program-office-jpoqueue-warning-q-warnseattletraffic-management-entity-based-queue-warning-q-warnwashingtonwashington-state-department-of-transportation-wsdot
Additional Information
KeyValue
Common-Core_Bureau-Code021:15
Common-Core_Contact-Emailgibbsw@battelle.org
Common-Core_Contact-NameWilliam Gibbs
Common-Core_Geographic-CoverageSeattle, Washington
Common-Core_Is-Quality-DataTrue
Common-Core_Issued2016-02-17
Common-Core_Languageen-US
Common-Core_Last-Update2016-02-17
Common-Core_Licensehttps://creativecommons.org/licenses/by-sa/4.0/
Common-Core_Program-Code021:013
Common-Core_Public-Access-Levelpublic
Common-Core_PublisherUSDOT
Common-Core_Temporal-Applicability2015-01-12/2015-01-16
Common-Core_Update-Frequencyirregular
categories{"public safety",recreation,transportation}
licenseCreative Commons Attribution | Share Alike 3.0 Unported
owner_display_namekathythompson
source_created_at2017-09-26T17:22:05.000Z
source_updated_at2021-09-03T21:53:36.000Z
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Access conditionsAccess control: Unknown
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