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Merge pull request #11 from RSGInc/SeaCastDevelopmentFromSharedModel
Sea cast development from shared model
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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<?xml version="1.0" encoding="utf-8"?> | ||
<configuration> | ||
<startup> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8"/> | ||
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.6.1"/> | ||
</startup> | ||
</configuration> |
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from input_configuration import * | ||
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################################### | ||
# Assignment Criteria | ||
################################### | ||
log_file_name = 'outputs/logs/skims_log.txt' | ||
STOP_THRESHOLD = 0.026 # Global convergence criteria | ||
parallel_instances = 12 # Number of simultaneous parallel processes. Must be a factor of 12. | ||
max_iter = 50 # Max number of iterations for assignment | ||
relative_gap = 0.0001 # Assignment Convergence Criteria | ||
best_relative_gap = 0.00 # Set to zero, only using relative gap as criteria | ||
normalized_gap = 0.00 # See above | ||
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||
pop_sample = [1, 1, 1, 1, 1, 1, 1, 1] | ||
# Assignment Iterations (must be same length as pop_sample: | ||
max_iterations_list = [10, 100, 100, 100, 100, 100, 100, 100] | ||
min_pop_sample_convergence_test = 10 | ||
shadow_work = [2, 1, 1, 1] | ||
shadow_con = 30 #%RMSE for shadow pricing to consider being converged | ||
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################################### | ||
# Zone Defintions | ||
################################### | ||
MIN_EXTERNAL = 3733 #zone of externals (subtract 1 because numpy is zero-based) | ||
MAX_EXTERNAL = 3750 #zone of externals (subtract 1 because numpy is zero-based) | ||
HIGH_TAZ = 2970 | ||
LOW_PNR = 3751 | ||
HIGH_PNR = 4000 | ||
SEATAC = 1 # Zone number for airport terminal | ||
AIPORT_EMP_PARKING_LOT = 28 # Zone number for airport employee parking lot | ||
EXTERNALS_DONT_GROW=[3733] | ||
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################################# | ||
# DaySim Airport Trip | ||
################################# | ||
PARKING_SAMPLE_SEED = 1212 | ||
PARKING_ZONE_SAMPLE_RATE = 0.7 | ||
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################################# | ||
# Airport Model Settings | ||
################################# | ||
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airport_output_dir = 'outputs/airport' | ||
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##################################### | ||
# Network Import Settings | ||
#################################### | ||
master_project = 'LoadTripTables' | ||
project = 'Projects/LoadTripTables/LoadTripTables.emp' | ||
network_summary_project = 'Projects/LoadTripTables/LoadTripTables.emp' | ||
tod_networks = ['am', 'md', 'pm', 'ev', 'ni'] | ||
sound_cast_net_dict = {'5to6' : 'am', '6to7' : 'am', '7to8' : 'am', '8to9' : 'am', | ||
'9to10' : 'md', '10to14' : 'md', '14to15' : 'md', | ||
'15to16' : 'pm', '16to17' : 'pm', '17to18' : 'pm', | ||
'18to20' : 'ev', '20to5' : 'ni'} | ||
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transit_tod_list = ['5to6', '6to7', '7to8', '8to9', '9to10', '10to14', '14to15', '15to16', '16to17', '17to18', '18to20'] | ||
extra_attributes_dict = {'@tveh' : 'total vehicles', | ||
'@mveh' : 'medium trucks', | ||
'@hveh' : 'heavy trucks', | ||
'@dveh' : 'delivery trucks', | ||
'@vmt' : 'vmt', | ||
'@vht' : 'vht', | ||
'@trnv' : 'buses in auto equivalents', | ||
'@ovol' : 'observed volume', | ||
'@bveh' : 'number of buses'} | ||
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||
unit_of_length = 'mi' # units of miles in Emme | ||
rdly_factor = .5 | ||
coord_unit_length = 0.0001894 # network links measured in feet, converted to miles (1/5280) | ||
main_log_file = 'seacast_log.txt' | ||
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link_extra_attributes = ['@facilitytype', '@countyid', '@countid', '@corridorid', '@is_managed','@bkfac','@upslp', '@toll1', '@toll2', '@toll3', '@trkc1', '@trkc2', '@trkc3', '@fgts', '@ttf', '@subarea_flag', '@concurrency', '@truck_route'] | ||
node_extra_attributes = ['@lr_walk','@hdwfr','@wait','@invt'] | ||
transit_line_extra_attributes = ['@transittype'] | ||
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# VOT ranges for assignment classes | ||
vot_1_max = 14.32 # VOT for User Class 1 < vot_1_max | ||
vot_2_max = 26.64 # vot_1_max < VOT for User Class 2 < vot_2_max | ||
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# TNC fraction to assign | ||
# Based on survey data from SANDAG for now | ||
tnc_occupancy = { | ||
11: 1, # non-AV, 1 passenger (+ driver) | ||
12: 0.5, # non-AV, 2 passengers | ||
13: 0.3, # non-AV 3.33 passengers on average | ||
21: 1, # AV, 1 passenger | ||
22: 0.5, # AV, 2 passenger | ||
23: 0.4 # AV, 3+ passengers | ||
} | ||
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feedback_list = ['Banks/7to8/emmebank','Banks/17to18/emmebank'] | ||
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# Time of day periods | ||
tods = ['5to6', '6to7', '7to8', '8to9', '9to10', '10to14', '14to15', '15to16', '16to17', '17to18', '18to20', '20to5' ] | ||
project_list = ['Projects/' + tod + '/' + tod + '.emp' for tod in tods] | ||
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emme_matrix_subgroups = ['Highway', 'Walk', 'Bike', 'Transit', 'LightRail','Ferry','CommuterRail','PassengerFerry'] | ||
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# Skim for time, cost | ||
skim_matrix_designation_all_tods = ['t','c'] # Time (t) and direct cost (c) skims | ||
skim_matrix_designation_limited = ['d'] # Distance skim | ||
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# Skim for distance for only these time periods | ||
distance_skim_tod = ['5to6', '7to8', '10to14', '17to18', '18to20'] | ||
generalized_cost_tod = ['5to6', '7to8', '10to14', '17to18', '18to20'] | ||
gc_skims = {'medium_trucks' : 'metrk', 'heavy_trucks' : 'hvtrk', 'sov' : 'sov_inc2', 'delivery_trucks': 'deltrk'} | ||
truck_trips_h5_filename = 'outputs/trucks/truck_trips.h5' | ||
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# Bike/Walk Skims | ||
bike_walk_skim_tod = ['5to6'] | ||
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# Transit Inputs: | ||
transit_skim_tod = ['5to6', '6to7', '7to8', '8to9', '9to10', '10to14', '14to15', '15to16', '16to17', '17to18', '18to20'] | ||
transit_submodes = ['b', 'c', 'f', 'p', 'r'] | ||
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transit_node_attributes = {'headway_fraction' : {'name' : '@hdwfr', 'init_value': .5}, | ||
'wait_time_perception' : {'name' : '@wait', 'init_value': 2}, | ||
'in_vehicle_time' : {'name' : '@invt', 'init_value': 1}} | ||
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transit_tod = {'5to6' : {'4k_tp' : 'am', 'num_of_hours' : 1}, | ||
'6to7' : {'4k_tp' : 'am', 'num_of_hours' : 1}, | ||
'7to8' : {'4k_tp' : 'am', 'num_of_hours' : 1}, | ||
'8to9' : {'4k_tp' : 'am', 'num_of_hours' : 1}, | ||
'9to10' : {'4k_tp' : 'md', 'num_of_hours' : 1}, | ||
'10to14' : {'4k_tp' : 'md', 'num_of_hours' : 4}, | ||
'14to15' : {'4k_tp' : 'md', 'num_of_hours' : 1}, | ||
'15to16' : {'4k_tp' : 'pm', 'num_of_hours' : 1}, | ||
'16to17' : {'4k_tp' : 'pm', 'num_of_hours' : 1}, | ||
'17to18' : {'4k_tp' : 'pm', 'num_of_hours' : 1}, | ||
'18to20' : {'4k_tp' : 'ev', 'num_of_hours' : 2}} | ||
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# Transit Fare: | ||
zone_file = 'inputs/scenario/networks/fares/transit_fare_zones.grt' | ||
fare_matrices_tod = ['6to7', '9to10'] | ||
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# Intrazonals | ||
intrazonal_dict = {'distance' : 'izdist', 'time auto' : 'izatim', 'time bike' : 'izbtim', 'time walk' : 'izwtim'} | ||
taz_area_file = 'inputs/model/intrazonals/taz_acres.in' | ||
origin_tt_file = 'inputs/model/intrazonals/origin_tt.in' | ||
destination_tt_file = 'inputs/model/intrazonals/destination_tt.in' | ||
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################################# | ||
# Bike Model Settings | ||
################################# | ||
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#################################### BIKE MODEL #################################### | ||
bike_assignment_tod = ['5to6','7to8','8to9','9to10','10to14','14to15','15to16','16to17', | ||
'17to18'] | ||
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# Distance perception penalties for link AADT from Broach et al., 2012 | ||
# 1 is AADT 10k-20k, 2 is 20k-30k, 3 is 30k+ | ||
# No penalty applied for AADT < 10k | ||
aadt_dict = {'volume_wt': { | ||
1: 0.368, | ||
2: 1.40, | ||
3: 7.157}} | ||
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# AADT segmentation breaks to apply volume penalties | ||
aadt_bins = [0,10000,20000,30000,9999999] | ||
aadt_labels = [0,1,2,3] # Corresponding "bucket" labels for AADT segmentation for aadt_dict | ||
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# Crosswalk of bicycle facilities from geodatabase to a 2-tier typology - premium, standard (and none) | ||
# Associated with IJBikeFacility from modeAttributes table | ||
# "Premium" represents trails and fully separated bike facilities | ||
# "Standard" represents painted bike lanes only | ||
bike_facility_crosswalk = {'@bkfac': {0:'none', # No bike lane | ||
1:'standard', # Striped bike lane | ||
2:'premium', # Protected bike lane | ||
3:'none', # Paved/striped shoulder | ||
4:'none', # Marked shared lane | ||
5:'none', # Bike provision undefined | ||
6:'none', # Defined bike route no provisions | ||
8:'premium', # Shared use path | ||
9:'standard', # Buffered bike lane (minimally coded as of 2018 BY) | ||
10:'standard' # neighborhood greenway (minimally coded as of 2018 BY) | ||
}} | ||
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# Perception factor values corresponding to these tiers, from Broch et al., 2012 | ||
facility_dict = {'facility_wt': { 'premium': -0.160, | ||
'standard': -0.108, | ||
'none': 0}} | ||
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# Perception factor values for 3-tiered measure of elevation gain per link | ||
slope_dict = {'slope_wt': {1: .371, # between 2-4% grade | ||
2: 1.203, # between 4-6% grade | ||
3: 3.239}} # greater than 6% grade | ||
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# Bin definition of total elevation gain (per link) | ||
slope_bins = [-1,0.02,0.04,0.06,1] | ||
slope_labels = [0,1,2,3] | ||
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avg_bike_speed = 10 # miles per hour | ||
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# Multiplier for storing skim results | ||
bike_skim_mult = 100 # divide by 100 to store as int | ||
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# Calibration factor for bike weights on ferry links | ||
ferry_bike_factor = 1 | ||
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################################# | ||
# Supplementals Settings | ||
################################# | ||
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trip_table_loc = 'outputs/supplemental/7_balance_trip_ends.csv' | ||
supplemental_project = 'projects/supplementals/supplementals.emp' | ||
supplemental_output_dir = 'outputs/supplemental' | ||
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# Define gravity model coefficients | ||
autoop = 16.75 # Auto operation costs (in hundreds of cents per mile?) | ||
avotda = 0.0303 # VOT | ||
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# Home delivery trips, must be > 0 | ||
total_delivery_trips = 1 | ||
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#This is what you get if the model runs cleanly, but it's random: | ||
good_thing = ["a cookie", "a run", "a puppy", "a seal sighting", "a beer", "some sunshine", "a nap"] | ||
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################################# | ||
# Integrated Run Settings | ||
################################# | ||
# Only required for integrated Urbans runs; leave as default for standard runs | ||
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# Root dir for all Soundcast runs | ||
urbansim_skims_dir = r'E:\soundcast_root' | ||
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# Urbansim outputs dir | ||
urbansim_outputs_dir = r'E:\opusgit\urbansim_data\data\psrc_parcel\2014SoundCastData\urbansim_outputs' |
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