def modify_travel_time(self):
""" Modifies the travel times to the cbd. The preferered zone (20)
gets minimum travel times, all other zones get high travel times.
@old version
Modifies the travel times from zone to zone.
For zone 20 the travel times to all other zones is set to min_travel_time.
For all other zones the trvel time will be set on 31min if the origin travel time
is less than 30min, otherwise it's not modified.
"""
# using default cbd
cbd = 129
# set the preferred zone
preferential_zone = 20
# set travel times for the preferered zone and other zones
min_travel_time = '0.40' # time in minutes
# max_travel_time = '121.02' # time in minutes
travel_time_border = 30.0 # time in minutes
offset = 2.0 # time in minutes
logger.log_status("Preferential zone with travel time = 40msec is set to: %s" % preferential_zone)
logger.log_status("The travel time border of other zones is set to %f" % travel_time_border)
logger.log_status("Offset to travel time border is %f" % offset)
travel_data = os.path.join( os.environ['OPUS_HOME'], "opus_matsim", "tmp", "travel_data.csv" )
if not self.travel_data_exsists(travel_data):
raise StandardError('Travel data not found! %s' % travel_data)
travel_cost_list = self.get_travel_cost_matrix()
in_file = open(travel_data, 'r')
str_list = []
# read header of travel data to get the indices of the colums (from_zone, to_zone, single_vehicle_travel_time)
line = in_file.readline()
# init indices
get_indices = GetIndices(line)
index_from_zone = get_indices.get_from_zone_index()
index_to_zone = get_indices.get_to_zone_index()
index_travel_times = get_indices.get_am_single_vehicle_to_work_travel_time_index()
index_travel_costs = get_indices.get_single_vehicle_to_work_travel_cost_index()
number_of_colums = get_indices.get_number_of_colums()
# prepare header line for the output file
row = line.split(',')
str_list.append( row[index_from_zone].strip('\r\n') +','+ row[index_to_zone].strip('\r\n') +','+ row[index_travel_times].strip('\r\n') + ',' + row[index_travel_costs].strip('\r\n') +'\r\n')
# get first line of the table content
line = in_file.readline()
# replaces the travel times as decribed above...
while line:
row = line.split(',')
# consistency check
if len(row) != number_of_colums:
raise StandardError('Error in number of colums: %s' %row)
from_zone_id = int(row[index_from_zone].strip('\r\n'))
to_zone_id = int(row[index_to_zone].strip('\r\n'))
travel_cost_value = travel_cost_list[from_zone_id][to_zone_id]
travel_times_value = float(row[index_travel_times].strip('\r\n'))
# new version (compute travel times from/to cbd. If preferential zone occurs set min travel times.
# otherwise check if the travel times of other zones from/to cbd is lower than 30min than set it to travel times higher than 30min)
# get all zones from and to cbd
if( from_zone_id == cbd ) or (to_zone_id == cbd ):
# if its the the preferaential zone and the cbd set minimum travel times
if ((from_zone_id == preferential_zone) and (to_zone_id == cbd)) or\
((from_zone_id == cbd) and (to_zone_id == preferential_zone)):
row[index_travel_times] = min_travel_time
# if its the cbd itself don't change anything
elif (from_zone_id == cbd) and (to_zone_id == cbd):
pass
# if zone form/to cbd is other then the preferential zone set the travel times
# higher than 30min (when the travel times are lower than 30min)
elif ((from_zone_id != preferential_zone) and (to_zone_id == cbd)) or\
((from_zone_id == cbd) and (to_zone_id != preferential_zone)):
if travel_times_value <= travel_time_border:
row[index_travel_times] = str(travel_time_border + offset)
#old version (Set travel times from preferential zone to all other zone to min travel times. For all other zones set travel times
# higher than 30min if they have less than 30min)
## travel time from zone 20 to other zone or from other zone to zone 20 is set to 40sec.
#if (from_zone_id == preferential_zone) or (to_zone_id == preferential_zone):
# row[index_travel_times] = min_travel_time
# # travel time from/to zone other than 20 is set to 30min+offset if the travel time was originally lower than 30min
#elif travel_times_value <= travel_time_border:
# row[index_travel_times] = str(travel_time_border + offset)
# append modified row to the new travel data content
str_list.append( row[index_from_zone].strip('\r\n') +','+ row[index_to_zone].strip('\r\n') +','+ row[index_travel_times].strip('\r\n') + ',' + str(travel_cost_value) +'\r\n')
line = in_file.readline()
# finished modifying traval data
in_file.close()
# now write new travel data onto disc
out_file = open(travel_data, 'w')
logger.log_status("Copying modified travel data onto disc.")
for row in str_list:
out_file.write(row)
out_file.close();
logger.log_status("Finished copy process.")
def modify_travel_costs(self):
''' Modifies the travel costs to the cbd. The preferered zone (20)
gets low costs, all other zones get high costs.
'''
# using default cbd
cbd = '129'
preferential_zone = '20'
low_travel_cost = '3.47'
high_travel_cost = '1689.19'
logger.log_status("Set cbd to %s" % cbd)
logger.log_status(
"Preferential zone with travel cost = 3.47 is set to: %s" %
preferential_zone)
logger.log_status("The travel costs of other zones is set to %s" %
high_travel_cost)
travel_data = os.path.join(os.environ['OPUS_HOME'], "opus_matsim",
"tmp", "travel_data.csv")
if not self.travel_data_exsists(travel_data):
raise StandardError('Travel data not found! %s' % travel_data)
in_file = open(travel_data, 'r')
str_list = []
# read header of travel data to get the indices of the colums (from_zone, to_zone, single_vehicle_travel_cost)
line = in_file.readline()
# init indices
get_indices = GetIndices(line)
index_from_zone = get_indices.get_from_zone_index()
index_to_zone = get_indices.get_to_zone_index()
index_travel_costs = get_indices.get_single_vehicle_to_work_travel_cost_index(
)
number_of_colums = get_indices.get_number_of_colums()
# prepare header line for the output file
row = line.split(',')
str_list.append(row[index_from_zone].strip('\r\n') + ',' +
row[index_to_zone].strip('\r\n') + ',' +
row[index_travel_costs].strip('\r\n') + '\r\n')
# get first line of the table content
line = in_file.readline()
# replaces the travel costs for every occurence of cbd according to origin zone
while line:
row = line.split(",")
# consistency check
if len(row) != number_of_colums:
print 'Error in number of colums: %s' % row
sys.exit()
# get all zones from and to cbd
if (row[index_from_zone] == cbd) or (row[index_to_zone] == cbd):
# if its the travel costs beween the preferaential zone and the cbd set low costs
if ((row[index_from_zone] == preferential_zone) and (row[index_to_zone] == cbd)) or\
((row[index_from_zone] == cbd) and (row[index_to_zone] == preferential_zone)):
row[index_travel_costs] = low_travel_cost
# append modified row to the new travel data content
str_list.append(row[index_from_zone] + ',' +
row[index_to_zone] + ',' +
row[index_travel_costs] + '\n')
# if its the cbd itself don't change anything
elif (row[index_from_zone] == cbd) and (row[index_to_zone]
== cbd):
# append unmodified row to the new travel data content
str_list.append(line)
# if its another zone than the prefrerred zone or the cbd set high costs
elif ((row[index_from_zone] != preferential_zone) and (row[index_to_zone] == cbd)) or\
((row[index_from_zone] == cbd) and (row[index_to_zone] != preferential_zone)):
row[index_travel_costs] = high_travel_cost
# append modified row to the new travel data content
str_list.append(row[index_from_zone] + ',' +
row[index_to_zone] + ',' +
row[index_travel_costs] + '\n')
# otherwise don't change anything
else:
# append unmodified row to the new travel data content
str_list.append(line)
# get next line
line = in_file.readline()
# finished modifying traval data
in_file.close()
# now write new travel data ono disc
out_file = open(travel_data, 'w')
logger.log_status("Copying modified travel data onto disc.")
for row in str_list:
out_file.write(row)
out_file.close()
logger.log_status("Finished copy process.")
def modify_travel_costs(self):
''' Modifies the travel costs to the cbd. The preferered zone (20)
gets low costs, all other zones get high costs.
'''
# using default cbd
cbd = '129'
preferential_zone = '20'
low_travel_cost = '3.47'
high_travel_cost = '1689.19'
logger.log_status("Set cbd to %s" %cbd)
logger.log_status("Preferential zone with travel cost = 3.47 is set to: %s" % preferential_zone)
logger.log_status("The travel costs of other zones is set to %s" % high_travel_cost)
travel_data = os.path.join( os.environ['OPUS_HOME'], "opus_matsim", "tmp", "travel_data.csv" )
if not self.travel_data_exsists(travel_data):
raise StandardError('Travel data not found! %s' % travel_data)
in_file = open(travel_data, 'r')
str_list = []
# read header of travel data to get the indices of the colums (from_zone, to_zone, single_vehicle_travel_cost)
line = in_file.readline()
# init indices
get_indices = GetIndices(line)
index_from_zone = get_indices.get_from_zone_index()
index_to_zone = get_indices.get_to_zone_index()
index_travel_costs = get_indices.get_single_vehicle_to_work_travel_cost_index()
number_of_colums = get_indices.get_number_of_colums()
# prepare header line for the output file
row = line.split(',')
str_list.append( row[index_from_zone].strip('\r\n') +','+ row[index_to_zone].strip('\r\n') +','+ row[index_travel_costs].strip('\r\n') +'\r\n')
# get first line of the table content
line = in_file.readline()
# replaces the travel costs for every occurence of cbd according to origin zone
while line:
row = line.split(",")
# consistency check
if len(row) != number_of_colums:
print 'Error in number of colums: %s' %row
sys.exit()
# get all zones from and to cbd
if (row[index_from_zone] == cbd) or (row[index_to_zone] == cbd):
# if its the travel costs beween the preferaential zone and the cbd set low costs
if ((row[index_from_zone] == preferential_zone) and (row[index_to_zone] == cbd)) or\
((row[index_from_zone] == cbd) and (row[index_to_zone] == preferential_zone)):
row[index_travel_costs] = low_travel_cost
# append modified row to the new travel data content
str_list.append( row[index_from_zone] +','+ row[index_to_zone] +','+ row[index_travel_costs] +'\n')
# if its the cbd itself don't change anything
elif (row[index_from_zone] == cbd) and (row[index_to_zone] == cbd):
# append unmodified row to the new travel data content
str_list.append( line )
# if its another zone than the prefrerred zone or the cbd set high costs
elif ((row[index_from_zone] != preferential_zone) and (row[index_to_zone] == cbd)) or\
((row[index_from_zone] == cbd) and (row[index_to_zone] != preferential_zone)):
row[index_travel_costs] = high_travel_cost
# append modified row to the new travel data content
str_list.append( row[index_from_zone] +','+ row[index_to_zone] +','+ row[index_travel_costs] +'\n')
# otherwise don't change anything
else:
# append unmodified row to the new travel data content
str_list.append( line )
# get next line
line = in_file.readline()
# finished modifying traval data
in_file.close()
# now write new travel data ono disc
out_file = open(travel_data, 'w')
logger.log_status("Copying modified travel data onto disc.")
for row in str_list:
out_file.write(row)
out_file.close();
logger.log_status("Finished copy process.")