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Cube Avenue

Model details

Inputs

Most urban areas can use existing data in their regional transportation model to implement Cube Avenue. Cube Avenue inputs include:
  • Roadway network in Cube Voyager format
  • Peak period trip tables
  • Vehicle storage area (vehicles per distance)
  • Roadway distance, capacity, and lanes
  • Traffic signal locations and characteristics


Model process


Cube Avenue is a dynamic equilibrium assignment model. Cube Avenue loads and tracks the movement of vehicle packets throughout the highway network. Vehicle packets can be any size from an individual vehicle up to platoons of 20 or more vehicles.

Cube Avenue explicitly simulates traffic flow and traffic control systems. Cube Avenue models traffic signals, roundabouts, stop-controlled intersections, and ramp merges. Vehicle packets move, stop, and queue through upstream roads and intersections.

Through an iterative process, Cube Avenue calculates optimal network conditions. Typically, the model converges in several iterations, an extremely fast process for smaller systems and quite feasible for large urban areas. Indeed, modelers have successfully applied Cube Avenue on areas with 3,000 zones and 25,000 links.

 

Outputs

Cube Avenue produces performance measures for time periods that you specify. For example, you can specify 15-minute results, one-hour results, or even one-minute results.

Output performance indicators include:


  • Total traffic volume on a road link
  • Total traffic in queue
  • Link operating speed and travel time
  • Link occupancy/utilization
  • Intersection LOS and operating conditions