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.
L o a d i n g
Organization
US Department of Transportation - view all
Update frequencyunknown
Last updatedalmost 2 years ago
Format
Overviewapplication-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
Categories{"public safety",recreation,transportation}
Common Core Bureau Code021:15
Common Core Contact EmailNHTSA-Datahub@dot.gov
Common Core Contact NameNHTSA-Datahub
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
LicenseCreative Commons Attribution | Share Alike 3.0 Unported
Owner Display NameNHTSA-Data Team
Source Created At2017-09-26T17:22:05.000Z
Source Updated At2024-05-01T01:04:14.000Z
