Difference between revisions of "4.5 Auxiliary Demand"
From visummodelwiki
(Created page with "Category:4.0 Directory & Data Structures") |
|||
| (2 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
[[Category:4.0 Directory & Data Structures]] | [[Category:4.0 Directory & Data Structures]] | ||
| + | |||
| + | <h3>Freight</h3> | ||
| + | |||
| + | As described earlier, JAX port freight trips are generated by a Python script (''interpolate_port_truck_tt.py'') that interpolates the JAXPORT demand for 2012 and 2040 to the analysis year between 2010 and 2040 (or beyond) based on the implied growth. The Python script makes use of Visum's Python API to import the JAXPORT trip table into Visum version file. | ||
| + | |||
| + | <h3>Non-HH</h3> | ||
| + | |||
| + | These trip tables are created by the ''tgen_main.py'' Python script using Visum's Python API to access all inputs and import the production (P) and attraction (A) vectors into the version file. These Ps and As are distributed using Trip Distribution procedures in Visum to generate Non-HH trip tables that are combined with DaySim trip tables for assignment. | ||
Latest revision as of 05:28, 13 March 2023
Freight
As described earlier, JAX port freight trips are generated by a Python script (interpolate_port_truck_tt.py) that interpolates the JAXPORT demand for 2012 and 2040 to the analysis year between 2010 and 2040 (or beyond) based on the implied growth. The Python script makes use of Visum's Python API to import the JAXPORT trip table into Visum version file.
Non-HH
These trip tables are created by the tgen_main.py Python script using Visum's Python API to access all inputs and import the production (P) and attraction (A) vectors into the version file. These Ps and As are distributed using Trip Distribution procedures in Visum to generate Non-HH trip tables that are combined with DaySim trip tables for assignment.
