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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.
Complete Metadata
| bureauCode |
[ "021:15" ] |
|---|---|
| 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" ] |
| programCode |
[ "021:013" ] |
| spatial | Seattle, Washington |
| temporal | 2015-01-12/2015-01-16 |
| theme |
[ "Automobiles" ] |
