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# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo
# Copyright (C) 2016-2023 German Aerospace Center (DLR) and others.
# SUMOPy module
# Copyright (C) 2012-2021 University of Bologna - DICAM
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.eclipse.org/legal/epl-2.0/
# This Source Code may also be made available under the following Secondary
# Licenses when the conditions for such availability set forth in the Eclipse
# Public License 2.0 are satisfied: GNU General Public License, version 2
# or later which is available at
# https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
# SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
# @file virtualpop_results.py
# @author Joerg Schweizer
# @date 2012
import os
import sys
import time
from xml.sax import saxutils, parse, handler
from collections import OrderedDict
import numpy as np
import agilepy.lib_base.classman as cm
import agilepy.lib_base.arrayman as am
import agilepy.lib_base.xmlman as xm
from coremodules.simulation import results as res
class IterateStatistics(am.ArrayObjman):
def __init__(self, scenario, parent=None,
name='VP Iteration statistics',
info='Table with aggegate simulation statistics for each virtual population simulation step.',
**kwargs):
self._init_objman(ident='vpiterstats',
parent=parent, # usually main results object
info=info,
name=name,
**kwargs)
self.add_col(am.ArrayConf('times_tot', 0.0,
dtype=np.float32,
groupnames=['general'],
perm='r',
name='Total triptimes',
info='Sum of trip times of executed trips. Etimated trip time is used if respective strategy has not been executed during the last simulation.',
))
self.add_col(am.ArrayConf('times_tot_est', 0.0,
dtype=np.float32,
groupnames=['general'],
perm='r',
name='Total est. triptimes',
info='Sum of all estimated journey times for the next iteration. Effective travel time is used if the respective strategy has been simulated in a previous iteration.',
))
self.add_col(am.ArrayConf('numbers_changes', 0,
dtype=np.int32,
groupnames=['general'],
perm='r',
name='Number changes',
info='Number of strategy changes with respect to the previous simulation run.',
))
virtualpop = scenario.demand.virtualpop
strategies = virtualpop.get_strategies()
ids_strat = strategies.get_ids()
for id_strat, strategy in zip(ids_strat, strategies.strategies[ids_strat]):
ident_strat = strategy.get_ident()
name_strat = strategy.get_name()
self.add_col(am.ArrayConf(self.get_stratcountattr(strategy), 0,
dtype=np.int32,
groupnames=['trips'],
perm='r',
name='Pers. using '+name_strat,
info='Total number of persons using the %s mobility strategy.' % name_strat,
))
self.add_col(am.ArrayConf(self.get_strattimeattr(strategy), 0.0,
dtype=np.float32,
groupnames=['times'],
perm='r',
name='Times with '+name_strat,
info='Total travel times of all persons using strategy %s.' % name_strat,
))
self.add_col(am.ArrayConf(self.get_stratesttimeattr(strategy), 0.0,
dtype=np.float32,
groupnames=['est. times'],
perm='r',
name='Est. times with '+name_strat,
info='Total estimated or effective travel times of all persons using strategy %s.' % name_strat,
))
self.add_col(am.ArrayConf(self.get_stratutilattr(strategy), 0.0,
dtype=np.float32,
groupnames=['utilities'],
perm='r',
name='Utility with '+name_strat,
info='Total utility of all persons using strategy %s.' % name_strat,
))
self.add_col(am.ArrayConf(self.get_stratestutilattr(strategy), 0.0,
dtype=np.float32,
groupnames=['est. utilities'],
perm='r',
name='Est. utility with '+name_strat,
info='Total estimated utility of all persons using strategy %s.' % name_strat,
))
def import_xml(self, sumo, datapaths):
return True
def get_strattimeattr(self, strategy):
return 'times_'+strategy.get_ident()
def get_stratesttimeattr(self, strategy):
return 'esttimes_'+strategy.get_ident()
def get_stratcountattr(self, strategy):
return 'stratcounts_'+strategy.get_ident()
def get_stratutilattr(self, strategy):
return 'utils_'+strategy.get_ident()
def get_stratestutilattr(self, strategy):
return 'estutils_'+strategy.get_ident()
def add_results(self, scenario, ids_plan_before, ids_plan_after):
print('add_results iteration:', len(self)+1)
# print ' ids_plan_before',ids_plan_before
# print ' ids_plan_after',ids_plan_after
# print ' changes',np.sum(ids_plan_before != ids_plan_after)
virtualpop = scenario.demand.virtualpop
plans = virtualpop.get_plans()
strategies = virtualpop.get_strategies()
ids_strat = strategies.get_ids()
ids_strat_before = plans.ids_strategy[ids_plan_before]
ids_strat_after = plans.ids_strategy[ids_plan_after]
# make estinated tiime for current and exec for last
times_before = plans.times_exec[ids_plan_before]
# in case no times_exec available, replace by estimated
inds_times_est = np.logical_not(times_before > 0)
times_before[inds_times_est] = plans.times_est[ids_plan_before[inds_times_est]]
times_after = plans.times_exec[ids_plan_after]
# in case no times_exec available, replace by estimated
inds_times_est = np.logical_not(times_after > 0)
times_after[inds_times_est] = plans.times_est[ids_plan_after[inds_times_est]]
# get utilities
#ids_strat_sim, frequ_strat_sim = itemfrequencies(ids_strat_after)
id_run = self.add_row()
# if id_run>1:
## self.numbers_changes[id_run] = np.sum(ids_plan_before != ids_plan_after)
## self.times_tot[id_run-1] = np.sum(times_before)
## self.times_tot_est[id_run] = np.sum(times_after)
# else:
## self.times_tot_est[id_run] = np.sum(times_after)
self.numbers_changes[id_run] = np.sum(ids_plan_before != ids_plan_after)
self.times_tot[id_run] = np.sum(times_before)
self.times_tot_est[id_run] = np.sum(times_after)
for id_strat, strategy in zip(ids_strat, strategies.strategies[ids_strat]):
inds_thisstrat_before = ids_strat_before == id_strat
inds_thisstrat_after = ids_strat_after == id_strat
print(' check', id_strat, strategy, np.sum(inds_thisstrat_before), np.sum(inds_thisstrat_after))
stratcountattr = self.get_stratcountattr(strategy)
getattr(self, stratcountattr)[id_run] = np.sum(inds_thisstrat_after)
# determine effective executed time before new plan selection
# if id_run>1:
## strattimeattr = self.get_strattimeattr(strategy)
## getattr(self, strattimeattr)[id_run-1] = np.sum(times_before[inds_thisstrat_before])
strattimeattr = self.get_strattimeattr(strategy)
getattr(self, strattimeattr)[id_run] = np.sum(times_before[inds_thisstrat_before])
# determine estimated or effective time (if available)
# after plan selection
stratesttimeattr = self.get_stratesttimeattr(strategy)
getattr(self, stratesttimeattr)[id_run] = np.sum(times_after[inds_thisstrat_after])
return id_run
class Vehicleresults(res.Tripresults):
pass
class Personresults(am.ArrayObjman):
def __init__(self, ident, parent, persons, edges, datapathkey='tripdatapath',
is_add_default=True,
name='Person results',
info='Table with simulation results for each person.',
**kwargs):
self._init_objman(ident=ident,
parent=parent, # main results object
info=info,
name=name,
**kwargs)
self.add(cm.AttrConf('datapathkey', datapathkey,
groupnames=['_private'],
name='data pathkey',
info="key of data path",
))
self.add_col(am.IdsArrayConf('ids_person', persons,
groupnames=['state'],
is_index=True,
name='person ID',
info='ID of person.',
))
attrinfos = OrderedDict([
('times_travel_total', {'name': 'Total travel time', 'unit': 's', 'default': 0.0,
'info': 'Total travel time, including all trips and waiting times, but excluding activities.', 'groupnames': ['tripdata']}),
('times_walk', {'name': 'Walking time', 'unit': 's', 'default': 0.0,
'info': 'Time walking, excluding waiting time.', 'groupnames': ['tripdata']}),
('times_ride', {'name': 'Riding time', 'unit': 's', 'default': 0.0,
'info': 'Time riding on a vehicle, excluding waiting time.', 'groupnames': ['tripdata']}),
('times_wait', {'name': 'Waiting time', 'unit': 's', 'default': 0.0,
'info': 'Time waiting for a vehicle.', 'groupnames': ['tripdata']}),
('times_activity', {'name': 'Activity time', 'unit': 's', 'default': 0.0,
'info': 'Time having some activities.', 'groupnames': ['tripdata']}),
('times_depart', {'name': 'Dep. time', 'xmltag': 'depart', 'unit': 's',
'default': 0.0, 'info': 'Time beginning firts trip or activity.', 'groupnames': ['tripdata']}),
('times_arrival', {'name': 'Arr. time', 'xmltag': 'arrival', 'unit': 's',
'default': 0.0, 'info': 'Time ending last trip or activity.', 'groupnames': ['tripdata']}),
])
for attrname, kwargs in attrinfos.iteritems():
self.add_resultattr(attrname, **kwargs)
# this is a special for route info
self.add_col(am.IdlistsArrayConf('ids_edges', edges,
name='Edge IDs',
groupnames=['routeinfo'],
info='List of edge IDs constituting the actually taken route.',
xmltag='edges',
))
def get_persons(self):
return self.ids_person.get_linktab()
def add_resultattr(self, attrname, **kwargs):
# default cannot be kwarg
default = kwargs['default']
del kwargs['default']
if kwargs.has_key('groupnames'):
kwargs['groupnames'].append('results')
else:
kwargs['groupnames'] = ['results']
self.add_col(am.ArrayConf(attrname, default, **kwargs))
def import_xml(self, sumo, datapaths):
datapathkey = self.datapathkey.get_value()
if datapaths.has_key(datapathkey):
self.import_sumoxml(datapaths[datapathkey], sumo)
self.get_persons().update_results(self)
def import_sumoxml(self, filepath, sumo):
print('Personresults.import_sumoxml', self.get_persons().ident, filepath)
reader = PersonReader(self.get_persons(), sumo)
parse(filepath, reader)
times_walk = np.array(reader.times_walk, dtype=np.int32)
times_ride = np.array(reader.times_ride, dtype=np.int32)
times_wait = np.array(reader.times_wait, dtype=np.int32)
ids = self.add_rows(ids_person=reader.ids_person,
times_travel_total=times_walk + times_ride + times_wait,
times_walk=times_walk,
times_ride=times_ride,
times_wait=times_wait,
times_depart=reader.times_depart,
times_arrival=reader.times_arrival,
)
return ids
class PersonReader(handler.ContentHandler):
"""
Reads person info from trip output xml file.
"""
def __init__(self, persons, sumo):
# print 'PersonReader'
self._persons = persons
self._element = 'personinfo'
self._sumo = sumo
self.is_person_valid = False
self.ids_person = []
self.times_depart = []
self.times_wait = []
self.times_ride = []
self.times_walk = []
self.times_arrival = []
def startElement(self, name, attrs):
# if attrs.has_key('id'):
# print ' parse',name,self._element,name == self._element, attrs['id']
if name == self._element:
id_elem = self._persons.get_id_from_id_sumo(attrs['id'])
# print ' ---id_elem',id_elem
if id_elem == -1:
return # id did not fit requested trip type
time_depart = float(attrs['depart'])
if time_depart > self._sumo.time_warmup:
self.is_person_valid = True
self.ids_person.append(id_elem)
self._time_laststage = time_depart
self.times_depart.append(self._time_laststage)
self._time_wait = 0
self._time_ride = 0
self._time_walk = 0
else:
self.is_person_valid = False
elif name == 'walk':
if self.is_person_valid:
time_arrival = float(attrs['arrival'])
self._time_walk += time_arrival - self._time_laststage
self._time_laststage = time_arrival
elif name == 'ride':
if self.is_person_valid:
time_depart = float(attrs['depart'])
time_arrival = float(attrs['arrival'])
self._time_wait += time_depart-self._time_laststage
self._time_ride += time_arrival - time_depart
self._time_laststage = time_arrival
def endElement(self, name):
if name == self._element:
if self.is_person_valid:
self.times_wait.append(self._time_wait)
self.times_ride.append(self._time_ride)
self.times_walk.append(self._time_walk)
self.times_arrival.append(self._time_laststage)
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