About this Dataset

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.
Organization: Department of Transportation
Last updated: 2020-11-12T12:47:03.062622
Tags: application-message, arterial, dedicated-short-range-communication-dsrc, field-test, freeway, i-5, intelligent-network-flow-optimization-inflo, intelligent-transportation-systems-its, its-joint-program-office-jpo, seattle, traffic-management-entity-based-queue-warning-q-warn, washington, washington-state-department-of-transportation-wsdot

Tables

Table 1

@usgov.dot_gov_intelligent_network_flow_optimization_prototyp_8350c1a3.table_1

26.76 kB
4,482 rows
7 columns

CREATE TABLE table_1 (
  "dategenerated" VARCHAR,
  "roadwayid" DOUBLE,
  "boqmmlocation" DOUBLE,
  "foqmmlocation" DOUBLE,
  "speedinqueue" DOUBLE,
  "rateofqueuegrowth" DOUBLE,
  "validityduration" DOUBLE
);