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Cube Cargo

Methodology

Cube Cargo is comprised of seven models:

• Generation - estimates the tons of goods produced and consumed by commodity class by zone
• Distribution - estimates matrices of the tons of goods by commodity class segmented by short-haul and long-haul
• Modal Choice - estimates matrices of the tons of long-haul goods by mode and commodity class
• Transport Logistics Nodes - partitions the long-haul goods by mode and commodity class by direct transport and transport chain tours
• Fine Distribution Model - Distribution of coarse zone information to the finer level zone system
• Vehicle Model - estimates the number of vehicle tours per day by vehicle type
• Urban Goods Model - estimates matrices of local truck travel for local delivery and services
Model flow






Model flow
The resulting matrices are assigned to the network to provide link-level truck flows by truck type.

Assignments are done using either Cube Voyager or TP+ or TRIPS under Cube Base. The assignment models provide additional information such as vehicle miles or kilometers travelled, average speed and volume by road type. This information can then be used to estimate environmental impacts.