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
Organization URL: https://catalog.data.gov/organization/dot
Last updated: 2016-02-17
Tags: application message, arterial, category: traffic management, dedicated short range communication (dsrc), field test, freeway, i-5, inflo, intelligent network flow optimization (inflo), intelligent transportation systems (its), its joint program office (jpo), project: inflo, seattle, subcategory: connected vehicle traffic signal system, traffic management entity-based queue warning (q-warn), washington, washington state department of transportation (wsdot)