config_full.yml

target_path: pipeline_cache
disable_progress_bar: false
java_memory: 8G

city_name: luzern
country_name: switzerland
threads: 8
sample_size: 0.1

stages:
    - population.utils.get_osm
    - population.utils.get_city_pop
    - population.utils.get_country_demographics
    - population.utils.get_unemployment_rate
    - population.utils.get_projection_name
    - population.prepare_osm
    - population.estimate_heights:
        k: 10                                          # k hyperparameter for kNN
        floor_height: 3.5                              # for estimating building heights
    - population.classify_buildings
        max_resid_building_area: 2000                  # for residential building classification
        min_usable_building_area: 50                  
        residential_share_mixed_buildings: 0.5         
    - population.estimate_residents_workplaces:
        total_pop: NULL                                # in case manual input is desired
        unemployment_rate: NULL                        
        demographics_path: NULL                        
        raster_cell_size: 250                          # level of detail in estimation
        bus_stop_accessibility_buffer: 300             # bus accessibility range
        train_station_accessibility_buffer: 500        # train accessibility range 
        other_stops_accessibility_buffer: 400          # other pt accessibility range
        train_station_accessibility_factor: 2          # factor of train accessibility in comparison to bus and other pt
        min_worker_age: 18                             # for calculating total employed pop           
        max_worker_age: 65                             
    - population.create_synth_pop:
        total_pop: NULL                                # in case manual input is desired
        unemployment_rate: NULL                        
        demographics_path: NULL                        
        min_worker_age: 18                             
        max_worker_age: 65                             
        min_student_age: 5             
        min_driver_age: 18        
        max_driver_age: 85        
	    car_avail_rate: 0.65                           # share of people in driving age that has a car available
    - population.calc_travel_times
    - population.assign_act_locations:
        sAct_share: 0.5                                # share of workers and students that has a secondary activity
    - population.assign_trip_chains:                   # arguments in seconds
        work_start_mean_s: 30600                       # 8h30 
        work_start_std_s: 1800                         # 30min
        work_dur_mean_s: 28800                         # 8h
        work_dur_std_s: 5400                           # 1h30
        school_start_s: 28800                          # 8h
        school_dur_s: 21600                            # 6h
    - matsim.population
    - matsim.java.add_timetable_compile
    - matsim.java.pt2matsim
    - matsim.network.convert_osm
    - matsim.network.convert_osm_pt
    - matsim.network.mapped
    - matsim.network.add_timetable:
        timetable_route_delay_factor: 1.5              # time factor to multiply freeflow travel times between stops
        timetable_modes: bus,train,tram,trolleybus,light_rail      # modes to which a frequency is defined
        timetable_frequencies: 15,30,10,10,15          # frequency (in minutes) of the service for the modes above
    - matsim.network.plausibility
    - matsim.run