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 e Risorse

Campo Valore
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}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • 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 2025-11-20T16:03:34.770618
metadata_modified 2025-11-20T16:03:34.770623
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