README.md

SF-CHAMP to Fast-Trips Demand Data Converter

Converts disaggregate SF-CHAMP Activity-Based Travel Model demand to Fast-Trips input demand using time of day distributions from observed transit boardings and alightings.

python convert_demand.py

Reads: TRIPMC.H51 (SF-CHAMP trip file in HDF5 format)
Writes: Input demand to Fast-Trips in Dyno-Demand format:

• household.txt
• person.txt
• trip_list.txt

Configuration: config.py

Default time-of-day CDFs derived from 2012 MUNI APC data.:

• PreferredDepartureTime.dat
• PreferredArrivalTime.dat

This is based on a script originally written by Lisa Zorn and Alireza Khani in 2012: Q:\Model Development\FastTrips\Demand.CHAMP\ft_CHAMPdemandGenerator.py