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StartUp.py
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StartUp.py
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# -*- coding: utf-8 -*-
"""
Created on Wed Oct 27 08:56:07 2021
@author: rtapia
"""
from __functions__ import read_mtx, read_shape, create_geojson, get_traveltime, get_distance
import pandas as pd
import numpy as np
import networkx as nx
from itertools import islice, tee
import math
import sys, os
import time
import ast
import datetime as dt
class HiddenPrints: #
def __enter__(self):
self._original_stdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
def __exit__(self, exc_type, exc_val, exc_tb):
sys.stdout.close()
sys.stdout = self._original_stdout
#%%
varDict = {}
'''FOR ALL MODULES'''
cwd = os.getcwd().replace(os.sep, '/')
datapath = cwd.replace('Code', '')
#%% Define all variables
def generate_args(method):
varDict = {}
'''FOR ALL MODULES'''
cwd = os.getcwd().replace(os.sep, '/')
datapath = cwd.replace('Code', '')
if method == 'from_file':
params_file = open(f'{datapath}Params.txt')
for line in params_file:
if len(line.split('=')) > 1:
key, value = line.split('=')
if len(value.split(':')) > 1:
value, dtype = value.split(':')
if len(dtype.split('#')) > 1: dtype, comment = dtype.split('#')
# Allow for spacebars around keys, values and dtypes
while key[0] == ' ' or key[0] == '\t': key = key[1:]
while key[-1] == ' ' or key[-1] == '\t': key = key[0:-1]
while value[0] == ' ' or value[0] == '\t': value = value[1:]
while value[-1] == ' ' or value[-1] == '\t': value = value[0:-1]
while dtype[0] == ' ' or dtype[0] == '\t': dtype = dtype[1:]
while dtype[-1] == ' ' or dtype[-1] == '\t': dtype = dtype[0:-1]
dtype = dtype.replace('\n',"")
# print(key, value, dtype)
if dtype == 'string': varDict[key] = str(value)
elif dtype == 'list': varDict[key] = ast.literal_eval(value)
elif dtype == 'int': varDict[key] = int(value)
elif dtype == 'float': varDict[key] = float(value)
elif dtype == 'bool': varDict[key] = eval(value)
elif dtype == 'variable': varDict[key] = globals()[value]
elif dtype == 'eval': varDict[key] = eval(value)
elif method == 'from_code':
print('Generating args from code')
varDict['RUN_DEMAND_MODULE'] = False
varDict['CROWDSHIPPING_NETWORK'] = True
varDict['COMBINE_DELIVERY_PICKUP_TOUR'] = True
varDict['HYPERCONNECTED_NETWORK'] = True
varDict['LABEL'] = 'C2C'
varDict['DATAPATH'] = datapath
varDict['INPUTFOLDER'] = f'{datapath}Input/Mass-GT/'
varDict['OUTPUTFOLDER'] = f'{datapath}Output/Mass-GT/'
varDict['PARAMFOLDER'] = f'{datapath}Parameters/Mass-GT/'
varDict['SKIMTIME'] = varDict['INPUTFOLDER'] + 'skimTijd_new_REF.mtx'
varDict['SKIMDISTANCE'] = varDict['INPUTFOLDER'] + 'skimAfstand_new_REF.mtx'
varDict['ZONES'] = varDict['INPUTFOLDER'] + 'Zones_v4.shp'
varDict['SEGS'] = varDict['INPUTFOLDER'] + 'SEGS2020.csv'
varDict['PARCELNODES'] = varDict['INPUTFOLDER'] + 'parcelNodes_v2.shp'
varDict['CEP_SHARES'] = varDict['INPUTFOLDER'] + 'CEPshares.csv'
'''FOR PARCEL MARKET MODULE'''
varDict['hub_zones'] = [585]
varDict['parcelLockers_zones'] = [585]
varDict['Gemeenten_studyarea'] = [
[ 'Delft', 'Midden_Delfland', 'Rijswijk','sGravenhage','Leidschendam_Voorburg',],
# [ 'Rotterdam','Schiedam','Vlaardingen','Ridderkerk', 'Barendrecht',],
# 'Albrandswaard',
# # 'Barendrecht',#
# 'Brielle',
# 'Capelle aan den IJssel',
# # 'Delft', #
# 'Hellevoetsluis',
# 'Krimpen aan den IJssel',
# 'Lansingerland',
# # 'Leidschendam_Voorburg',#
# 'Maassluis',
# # 'Midden_Delfland',#
# 'Nissewaard',
# 'Pijnacker_Nootdorp',
# # 'Ridderkerk',#
# # 'Rijswijk',#
# # 'Rotterdam',#
# # 'Schiedam',#
# # 'Vlaardingen',#
# 'Wassenaar',
# 'Westland',
# 'Westvoorne',
# 'Zoetermeer',
# # 'sGravenhage'#
]
# Hague
varDict['Gemeenten_CS'] = ["sGravenhage", "Zoetermeer", "Midden_Delfland"]
varDict['SCORE_ALPHAS'] = [0, 0, 0.1, 1]
varDict['SCORE_COSTS'] = [0.2, .02, .02, 0,0] # tour_based, consolidated, hub, cs_trans, #interCEP_cost
varDict['CONSOLIDATED_MAXLOAD'] = 500
'''FOR PARCEL DEMAND MODULE'''
# Changed parameters to C2X ACM post&pakketmonitor2020 20.8M parcels
varDict['PARCELS_PER_HH_C2C'] = 20.8 / 250 / 8.0 # M parcels / days / M HHs
varDict['PARCELS_PER_HH_B2C'] = 0.195
varDict['PARCELS_PER_HH'] = varDict['PARCELS_PER_HH_C2C'] + varDict['PARCELS_PER_HH_B2C']
varDict['PARCELS_PER_EMPL'] = 0
varDict['Local2Local'] = 0.04
varDict['CS_cust_willingness'] = 0.05 # Willingess to SEND a parcel by CS
'''FOR PARCEL SCHEDULING MODULE'''
varDict['PARCELS_MAXLOAD'] = 180
varDict['PARCELS_DROPTIME'] = 120
varDict['PARCELS_SUCCESS_B2C'] = 0.75
varDict['PARCELS_SUCCESS_B2B'] = 0.95
varDict['PARCELS_GROWTHFREIGHT']= 1.0
varDict['CROWDSHIPPING'] = False #SCHED module has own CS integrated, this is not used here
varDict['CRW_PARCELSHARE'] = 0.1
varDict['CRW_MODEPARAMS'] = varDict['INPUTFOLDER'] + 'Params_UseCase_CrowdShipping.csv'
'''FOR CROWDSHIPPING MATCHING MODULE'''
varDict['CS_WILLINGNESS'] = 0.2
varDict['VOT'] = '9.00'
varDict['PARCELS_DROPTIME_CAR'] = 120
varDict['PARCELS_DROPTIME_BIKE']= 60 #and car passenger
varDict['PARCELS_DROPTIME_PT'] = 0 #and walk
varDict['TRIPSPATH'] = f'{datapath}Input/LYON/'
varDict['CS_BringerScore'] = 'Min_Detour' # Min_Detour or Surplus
varDict['CS_COMPENSATION'] = 'math.log( (dist_parcel_trip) + 2)' # Min_Detour or Surplus
'''
NetworkHyperconnect
'''
varDict['HyperConect'] = {
# "DHL": ['DPD', 'FedEx', 'GLS', 'PostNL', 'UPS'] ,
# "DPD": ['DHL', 'FedEx', 'GLS', 'PostNL', 'UPS'] ,
# "FedEx": ['DPD', 'DHL', 'GLS', 'PostNL', 'UPS'] ,
# "GLS": ['DPD', 'FedEx', 'DHL', 'PostNL', 'UPS'] ,
# "PostNL": ['DPD', 'FedEx', 'GLS', 'DHL', 'UPS'] ,
# "UPS": ['DPD', 'FedEx', 'GLS', 'PostNL', 'DHL'] ,
# }
"DHL": [] ,
"DPD": ['FedEx', 'GLS', 'UPS'] ,
"FedEx": ['DPD', 'GLS', 'UPS'] ,
"GLS": ['DPD', 'FedEx', 'UPS'] ,
"PostNL": [] ,
"UPS": ['DPD', 'FedEx', 'GLS'] ,
}
# "DHL": [] ,
# "DPD": [ 'FedEx', 'GLS', 'PostNL', 'UPS'] ,
# "FedEx": ['DPD', 'GLS', 'PostNL', 'UPS'] ,
# "GLS": ['DPD', 'FedEx','PostNL', 'UPS'] ,
# "PostNL": ['DPD', 'FedEx', 'GLS', 'UPS'] ,
# "UPS": ['DPD', 'FedEx', 'GLS', 'PostNL',] ,
# }
# "DHL": [] ,
# "DPD": [] ,
# "FedEx": [] ,
# "GLS": [] ,
# "PostNL":[] ,
# "UPS": [] ,
# }
args = ['', varDict]
return args, varDict
method = 'from_code' #either from_file or from_code
args, varDict = generate_args(method)
TESTRUN = False # True to fasten further code TEST (runs with less parcels)
TestRunLen = 100
#%%
#%% Module 0: Load input data
'''
These variables will be used throughout the whole model
'''
Comienzo = dt.datetime.now()
print ("Comienzo: ",Comienzo)
zones = read_shape(varDict['ZONES'])
zones.index = zones['AREANR']
nZones = len(zones)
skims = {'time': {}, 'dist': {}, }
skims['time']['path'] = varDict['SKIMTIME']
skims['dist']['path'] = varDict['SKIMDISTANCE']
for skim in skims:
skims[skim] = read_mtx(skims[skim]['path'])
nSkimZones = int(len(skims[skim])**0.5)
skims[skim] = skims[skim].reshape((nSkimZones, nSkimZones))
if skim == 'time': skims[skim][6483] = skims[skim][:,6483] = 5000 # data deficiency
for i in range(nSkimZones): #add traveltimes to internal zonal trips
skims[skim][i,i] = 0.7 * np.min(skims[skim][i,skims[skim][i,:]>0])
skimTravTime = skims['time']; skimDist = skims['dist']
skimDist_flat = skimDist.flatten()
del skims, skim, i
zoneDict = dict(np.transpose(np.vstack( (np.arange(1,nZones+1), zones['AREANR']) )))
zoneDict = {int(a):int(b) for a,b in zoneDict.items()}
invZoneDict = dict((v, k) for k, v in zoneDict.items())
segs = pd.read_csv(varDict['SEGS'])
segs.index = segs['zone']
segs = segs[segs['zone'].isin(zones['AREANR'])] #Take only segs into account for which zonal data is known as well
parcelNodesPath = varDict['PARCELNODES']
parcelNodes = read_shape(parcelNodesPath, returnGeometry=False)
parcelNodes.index = parcelNodes['id'].astype(int)
parcelNodes = parcelNodes.sort_index()
for node in parcelNodes['id']:
parcelNodes.loc[node,'SKIMNR'] = int(invZoneDict[parcelNodes.at[int(node),'AREANR']])
parcelNodes['SKIMNR'] = parcelNodes['SKIMNR'].astype(int)
cepList = np.unique(parcelNodes['CEP'])
cepNodes = [np.where(parcelNodes['CEP']==str(cep))[0] for cep in cepList]
cepNodeDict = {}; cepZoneDict = {}; cepSkimDict = {}
for cep in cepList:
cepZoneDict[cep] = parcelNodes[parcelNodes['CEP'] == cep]['AREANR'].astype(int).tolist()
cepSkimDict[cep] = parcelNodes[parcelNodes['CEP'] == cep]['SKIMNR'].astype(int).tolist()
for cepNo in range(len(cepList)):
cepNodeDict[cepList[cepNo]] = cepNodes[cepNo]
KPIs = {}
#%%