Intelligent Network Flow Optimization Prototype Traffic Management Entity-Based Queue Warning
Description
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.
Resources
| Name |
Format |
Description |
Link |
|
8 |
|
https://data.transportation.gov/api/views/fnkc-y5dk/rows.csv?accessType=DOWNLOAD |
|
40 |
|
https://data.transportation.gov/api/views/fnkc-y5dk/rows.rdf?accessType=DOWNLOAD |
|
23 |
|
https://data.transportation.gov/api/views/fnkc-y5dk/rows.json?accessType=DOWNLOAD |
|
55 |
|
https://data.transportation.gov/api/views/fnkc-y5dk/rows.xml?accessType=DOWNLOAD |
Tags
- intelligent-network-flow-optimization-inflo
- intelligent-transportation-systems-its
- inflo
- i-5
- arterial
- traffic-management-entity-based-queue-warning-q-warn
- freeway
- washington
- application-message
- seattle
- field-test
- its-joint-program-office-jpo
- washington-state-department-of-transportation-wsdot
- dedicated-short-range-communication-dsrc