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

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.

Data and Resources

Field Value
accessLevel public
accrualPeriodicity irregular
bureauCode {021:15}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.transportation.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
dataQuality true
identifier https://data.transportation.gov/api/views/fnkc-y5dk
issued 2016-02-17
landingPage https://data.transportation.gov/d/fnkc-y5dk
language {en-US}
license http://creativecommons.org/licenses/by-sa/3.0/legalcode
modified 2016-02-17
programCode {021:013}
publisher USDOT
resource-type Dataset
source_datajson_identifier true
source_hash bca3a7e724c2ce181c35bfc47f2ae8755ed9db30
source_schema_version 1.1
temporal 2015-01-12/2015-01-16
theme {Automobiles}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • application-message
  • arterial
  • battelle
  • ckan
  • dedicated-short-range-communication-dsrc
  • field-test
  • freeway
  • geo
  • geoss
  • i-5
  • intelligent-network-flow-optimization-inflo
  • intelligent-transportation-systems-its
  • its-joint-program-office-jpo
  • national
  • north-america
  • queue-warning-q-warn
  • seattle
  • traffic-management-entity-based-queue-warning-q-warn
  • united-states
  • washington
  • washington-state-department-of-transportation-wsdot
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer William Gibbs
maintainer_email gibbsw@battelle.org
metadata_created 2025-11-21T04:06:48.175500
metadata_modified 2025-11-21T04:06:48.175504
notes 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.
num_resources 4
num_tags 23
title Intelligent Network Flow Optimization Prototype Traffic Management Entity-Based Queue Warning