def add_speedoptions(self):
attrsman = self.get_attrsman()
self.add_option(
'speed_depart',
OPTIONMAP_SPEED_DEPARTURE['max'],
groupnames=['options'],
cml='--departspeed',
name='Departure speed',
unit='m/s',
info="Departure speed of vehicle.\n\nSpecial values:\n" +
dict_to_str(OPTIONMAP_SPEED_DEPARTURE, intend=2),
cmlvaluemap=get_inversemap(OPTIONMAP_SPEED_DEPARTURE),
)
self.add_option(
'speed_arrival',
OPTIONMAP_SPEED_ARRIVAL['current'],
groupnames=['options'],
cml='--arrivalspeed',
name='Arival speed',
unit='m/s',
info="Arival speed of vehicle.\n\nSpecial values:\n" +
dict_to_str(OPTIONMAP_SPEED_ARRIVAL, intend=2),
cmlvaluemap=get_inversemap(OPTIONMAP_SPEED_ARRIVAL),
)
def add_laneoptions(self):
attrsman = self.get_attrsman()
self.add_option(
'ind_lane_depart',
OPTIONMAP_LANE_DEPART['best'],
groupnames=['options'],
cml='--departlane',
name='Depart lane',
info=
"Departure lane index. 0 is rightmost lane or sidewalk, if existant.\n\nSpecial values:\n"
+ dict_to_str(OPTIONMAP_LANE_DEPART, intend=2),
cmlvaluemap=get_inversemap(OPTIONMAP_LANE_DEPART),
)
self.add_option(
'ind_lane_arrival',
OPTIONMAP_LANE_ARRIVAL['current'],
groupnames=['options'],
cml='--arrivallane',
name='Arrival lane',
info=
"Arrival lane index. 0 is rightmost lane or sidewalk, if existant.\n\nSpecial values:\n"
+ dict_to_str(OPTIONMAP_LANE_ARRIVAL, intend=2),
cmlvaluemap=get_inversemap(OPTIONMAP_LANE_ARRIVAL),
)
def add_posoptions(self):
attrsman = self.get_attrsman()
self.add_option(
'pos_depart',
OPTIONMAP_POS_DEPARTURE['base'],
groupnames=['options'],
cml='--departpos',
name='Departure position',
unit='m',
info="Departure position of vehicle.\n\nSpecial values:\n" +
dict_to_str(OPTIONMAP_POS_DEPARTURE, intend=2),
cmlvaluemap=get_inversemap(OPTIONMAP_POS_DEPARTURE),
)
self.add_option(
'pos_arrival',
OPTIONMAP_POS_ARRIVAL['max'],
groupnames=['options'],
cml='--arrivalpos',
name='Arival position',
unit='m',
info="Arival position of vehicle.\n\nSpecial values:\n" +
dict_to_str(OPTIONMAP_POS_ARRIVAL, intend=2),
cmlvaluemap=get_inversemap(OPTIONMAP_POS_ARRIVAL),
)
def nodes_to_shapefile(net,
filepath,
dataname='nodeshapedata',
parent=None,
log=None):
"""
Export network nodes to shapefile.
"""
nodes = net.nodes
shapedata = Shapedata(parent,
dataname,
name='Node shape data',
filepath=filepath,
shapetype=SHAPETYPES['Point'],
projparams_shape=net.get_projparams(),
offset=net.get_offset(),
log=log)
#attrname, ftype, flen, fdigit = field
attrlist = [
('id', 'id', 'ID_NODE', 'N', 12, 0),
('types', 'val', 'TYPE', 'C', 20, 0),
# ('radii','val','RADIUS','N',5,3),
]
map_nodetypes = get_inversemap(nodes.types.choices)
nodetypes = np.zeros(max(map_nodetypes.keys()) + 1, dtype=np.object)
nodetypes[map_nodetypes.keys()] = map_nodetypes.values()
print 'nodes_to_shapefile', filepath
for attr in attrlist:
shapedata.add_field(attr[2:])
ids_node = nodes.get_ids()
ids_shape = shapedata.add_rows(len(nodes))
# print ' shapedata.ID_ARC',shapedata.ID_ARC,'dir',dir(shapedata.ID_ARC)
shapedata.ID_NODE[ids_shape] = ids_node
shapedata.coords[ids_shape] = nodes.coords[ids_node]
shapedata.TYPE[ids_shape] = nodetypes[nodes.types[ids_node]]
# copy rest of attributes
for netattrname, gettype, shapeattrname, x1, x2, x3 in attrlist:
if netattrname not in ('id', 'types'):
getattr(shapedata,
shapeattrname)[ids_shape] = getattr(nodes,
netattrname)[ids_node]
shapedata.adjust_fieldlength()
shapedata.export_shapefile()
return True
def print_route(self, ids_link):
typemap = get_inversemap(self.types.choices)
for id_link, id_type, id_line, id_fromstop, id_tostop in\
zip(ids_link,
self.types[ids_link],
self.ids_line[ids_link],
self.ids_fromstop[ids_link],
self.ids_tostop[ids_link]
):
if id_line >= 0:
line = self.parent.linenames[id_line]
else:
line = 'X'
print '%4d %06s fromstop=%3d tostop=%3d %06s' % (id_link, line, id_fromstop, id_tostop, typemap[id_type])
def nodes_to_shapefile(net, filepath, dataname='nodeshapedata',
parent=None, log=None):
"""
Export network nodes to shapefile.
"""
nodes = net.nodes
shapedata = Shapedata(parent, dataname, name='Node shape data',
filepath=filepath,
shapetype=SHAPETYPES['Point'],
projparams_shape=net.get_projparams(),
offset=net.get_offset(), log=log)
#attrname, ftype, flen, fdigit = field
attrlist = [
('id', 'id', 'ID_NODE', 'N', 12, 0),
('types', 'val', 'TYPE', 'C', 20, 0),
# ('radii','val','RADIUS','N',5,3),
]
map_nodetypes = get_inversemap(nodes.types.choices)
nodetypes = np.zeros(max(map_nodetypes.keys())+1, dtype=np.object)
nodetypes[map_nodetypes.keys()] = map_nodetypes.values()
print 'nodes_to_shapefile', filepath
for attr in attrlist:
shapedata.add_field(attr[2:])
ids_node = nodes.get_ids()
ids_shape = shapedata.add_rows(len(nodes))
# print ' shapedata.ID_ARC',shapedata.ID_ARC,'dir',dir(shapedata.ID_ARC)
shapedata.ID_NODE[ids_shape] = ids_node
shapedata.coords[ids_shape] = nodes.coords[ids_node]
shapedata.TYPE[ids_shape] = nodetypes[nodes.types[ids_node]]
# copy rest of attributes
for netattrname, gettype, shapeattrname, x1, x2, x3 in attrlist:
if netattrname not in ('id', 'types'):
getattr(shapedata, shapeattrname)[ids_shape] = getattr(nodes, netattrname)[ids_node]
shapedata.adjust_fieldlength()
shapedata.export_shapefile()
return True
def __init__(self, demand, net, **kwargs):
# print 'Trips.__init__'
self._init_objman(ident='trips',
parent=demand,
name='Trips',
info='Table with trip and route info.',
xmltag=('trips', 'trip', 'ids_sumo'),
**kwargs)
self.add_col(SumoIdsConf('Trip', xmltag='id'))
self.add_col(am.IdsArrayConf('ids_vtype', demand.vtypes,
groupnames=['state'],
name='Type',
info='Vehicle type.',
xmltag='type',
))
self.add_col(am.ArrayConf('times_depart', 0,
dtype=np.int32,
perm='rw',
name='Depart time',
info="Departure time of vehicle in seconds. Must be an integer!",
xmltag='depart',
))
self.add_col(am.IdsArrayConf('ids_edge_depart', net.edges,
groupnames=['state'],
name='ID from-edge',
info='ID of network edge where trip starts.',
xmltag='from',
))
self.add_col(am.IdsArrayConf('ids_edge_arrival', net.edges,
groupnames=['state'],
name='ID to-edge',
info='ID of network edge where trip ends.',
xmltag='to',
))
self.add_col(am.ArrayConf('inds_lane_depart', OPTIONMAP_LANE_DEPART["free"],
dtype=np.int32,
#choices = OPTIONMAP_LANE_DEPART,
perm='r',
name='Depart lane',
info="Departure lane index. 0 is rightmost lane or sidewalk, if existant.",
xmltag='departLane',
xmlmap=get_inversemap(OPTIONMAP_LANE_DEPART),
))
self.add_col(am.ArrayConf('positions_depart', OPTIONMAP_POS_DEPARTURE["random_free"],
dtype=np.float32,
#choices = OPTIONMAP_POS_DEPARTURE,
perm='r',
name='Depart pos',
unit='m',
info="Position on edge at the moment of departure.",
xmltag='departPos',
xmlmap=get_inversemap(OPTIONMAP_POS_DEPARTURE),
))
self.add_col(am.ArrayConf('speeds_depart', 0.0,
dtype=np.float32,
#choices = OPTIONMAP_SPEED_DEPARTURE,
perm='r',
name='Depart speed',
unit='m/s',
info="Speed at the moment of departure.",
xmltag='departSpeed',
xmlmap=get_inversemap(OPTIONMAP_SPEED_DEPARTURE),
))
self.add_col(am.ArrayConf('inds_lane_arrival', OPTIONMAP_LANE_ARRIVAL["current"],
dtype=np.int32,
#choices = OPTIONMAP_LANE_ARRIVAL,
perm='r',
name='Arrival lane',
info="Arrival lane index. 0 is rightmost lane or sidewalk, if existant.",
xmltag='arrivalLane',
xmlmap=get_inversemap(OPTIONMAP_LANE_ARRIVAL),
))
self.add_col(am.ArrayConf('positions_arrival', OPTIONMAP_POS_ARRIVAL["random"],
dtype=np.float32,
#choices = OPTIONMAP_POS_ARRIVAL,
perm='r',
name='Arrival pos',
unit='m',
info="Position on edge at the moment of arrival.",
xmltag='arrivalPos',
xmlmap=get_inversemap(OPTIONMAP_POS_ARRIVAL),
))
self.add_col(am.ArrayConf('speeds_arrival', 0.0,
dtype=np.float32,
#choices = OPTIONMAP_SPEED_ARRIVAL,
perm='r',
name='Arrival speed',
unit='m/s',
info="Arrival at the moment of departure.",
xmltag='arrivalSpeed',
xmlmap=get_inversemap(OPTIONMAP_SPEED_ARRIVAL),
))
self.add(cm.ObjConf(Routes('routes', self, net)))
# print ' self.routes.get_value()',self.routes.get_value()
self.add_col(am.IdlistsArrayConf('ids_routes', self.routes.get_value(),
name='Route IDs',
info='List of edge IDs constituting the route.',
))
def _init_attributes(self):
net = self.parent.get_net()
# lanechange model is now centralized: all vehicle types have the same
# lanechange model.
if self.get_version() < 0.1:
self.delete('lanechangemodels')
self.delete('alignments_lat')
self.delete('speeds_max_lat')
self.delete('gaps_min_lat')
self.add(
cm.AttrConf(
'lanechangemodel',
LANECHANGEMODELS[0],
groupnames=['parameters'],
choices=LANECHANGEMODELS,
name='Lanechange model',
info=
"Lanechange model. The choice of the lanechange model will also determine the choice of lanechange parameters. With model SL2015, sublanes will be simulated.",
#xmltag = 'laneChangeModel',
))
self.add_col(SumoIdsConf('vtype', name='Type name', perm='rw'))
self.add_col(
am.ArrayConf(
'lengths',
5.0,
groupnames=['parameters'],
name='Length',
unit='m',
info="The vehicle's netto-length",
xmltag='length',
))
self.add_col(
am.ArrayConf(
'widths',
2.0,
groupnames=['parameters'],
name='Width',
unit='m',
info="The vehicle's width.",
xmltag='width',
))
self.add_col(
am.ArrayConf(
'heights',
1.5,
groupnames=['parameters'],
name='Height',
unit='m',
info="The vehicle's height.",
xmltag='height',
))
self.add_col(
am.ArrayConf(
'numbers_persons_initial',
1,
groupnames=['parameters'],
name='Passengers',
info="Initial number of persons in the vehicle.",
xmltag='personNumber',
))
self.add_col(
am.ArrayConf(
'capacities_persons',
1,
groupnames=['parameters'],
name='Capacity',
info="Maximum number of persons that fit in a vehicle.",
xmltag='personCapacity',
))
self.add_col(
am.ArrayConf(
'numbers_container',
0,
groupnames=['parameters'],
name='Containers',
info="Initial number of containers on the vehicle.",
xmltag='containerNumber',
))
self.add_col(
am.ArrayConf(
'speeds_max',
70.0,
groupnames=['parameters'],
name='Max. speed',
unit='m/s',
info="The vehicle's maximum velocity",
xmltag='maxSpeed',
))
self.add_col(
am.ArrayConf(
'accels',
0.8,
groupnames=['parameters'],
name='Max. accel.',
unit='m/s^2',
info='The acceleration ability of vehicles of this type',
xmltag='accel',
))
self.add_col(
am.ArrayConf(
'decels',
4.5,
groupnames=['parameters'],
name='Max. decel.',
unit='m/s^2',
info='The acceleration ability of vehicles of this type',
xmltag='decel',
))
self.add_col(
am.ArrayConf(
'taus',
1.0,
groupnames=['parameters'],
name='Reaction',
unit='s',
info=
"The driver's reaction time in s (actually the minimum time gap)",
xmltag='tau',
))
self.add_col(
am.ArrayConf(
'sigmas',
0.5,
groupnames=['parameters'],
name='Driver',
info=
'The driver imperfection (between 0 and 1). Used only in follower models SUMOKrauss, SKOrig',
xmltag='sigma',
))
self.add_col(
am.ArrayConf(
'dists_min',
2.5,
groupnames=['parameters'],
name='Min. gap',
unit='m',
info="Minimum empty space after leader.",
xmltag='minGap',
))
self.add_col(
am.ArrayConf(
'times_boarding',
0.5,
groupnames=['parameters'],
name='boarding time',
unit='s',
info="The time required by a person to board the vehicle.",
xmltag='boardingDuration',
))
self.add_col(
am.ArrayConf(
'times_loading',
90.0,
groupnames=['parameters'],
name='loading time',
unit='s',
info="The time required by a person to board the vehicle.",
xmltag='loadingDuration',
))
self.add_col(
am.IdsArrayConf(
'ids_mode',
net.modes,
groupnames=['state'],
choices=MODES,
name='Mode',
info='ID of transport mode.',
xmltag='vClass',
))
emissionclasses_xml = {}
for key in EMISSIONCLASSES.keys():
# yes, map onto itself, otherwise choice values are taken
emissionclasses_xml[key] = key
self.add_col(
am.ArrayConf(
'emissionclasses',
'HBEFA3/HDV_D_EU4',
dtype='object',
groupnames=['parameters'],
choices=get_inversemap(EMISSIONCLASSES),
name='Emission',
info=
"HBEFA3 emission class, see sourceforge.net/apps/mediawiki/sumo/index.php?title=Simulation/Models/Emissions/HBEFA-based",
xmltag='emissionClass',
xmlmap=emissionclasses_xml,
))
self.add_col(
am.ArrayConf(
'impatiences',
-1000.0,
groupnames=['parameters'],
name='Impatience',
info=
"Impatience offset between -1000.0 and 1.0 (-100 or less equals off). Impatience grows at 1/teleport. If 1.0 is reached driver will disrigard priorities.",
xmltag='impatience',
))
self.add_col(
am.ArrayConf(
'shapes_gui',
"passenger",
dtype='object',
groupnames=['parameters'],
name='GUI shape',
choices=GUISHAPES,
info="How this vehicle is rendered.",
xmltag='guiShape',
))
self.add_col(
am.ArrayConf(
'colors',
np.array((1.0, 1.0, 1.0, 1.0), np.float32),
metatype='color',
groupnames=['parameters'],
name='Color',
info=
"This vehicle type's color as RGBA tuple with values from 0 to 1.0",
xmltag='color',
))
self.add_col(
am.ArrayConf(
'lanechange_strategies',
1.0,
groupnames=['parameters'],
name='Lane strategy',
info=
"Lanechange model strategy factor. The eagerness for performing strategic lane changing. Higher values result in earlier lane-changing. default: 1.0, range [0-inf]",
xmltag='lcStrategic',
))
self.add_col(
am.ArrayConf(
'lanechange_coops',
1.0,
groupnames=['parameters'],
name='Lane coop',
info=
"Lanechange model cooperative factor.The willingness for performing cooperative lane changing. Lower values result in reduced cooperation. default: 1.0, range [0-1]",
xmltag='lcCooperative',
))
self.add_col(
am.ArrayConf(
'lanechange_gains',
1.0,
groupnames=['parameters'],
name='Lane gain',
info=
"Lanechange model gain factor.The eagerness for performing lane changing to gain speed. Higher values result in more lane-changing. default: 1.0, range [0-inf]",
xmltag='lcSpeedGain',
))
self.add_col(
am.ArrayConf(
'lanechange_rightkeepings',
1.0,
groupnames=['parameters'],
name='Lane right',
info=
"Lanechange model keep right factor.The eagerness for following the obligation to keep right. Higher values result in earlier lane-changing. default: 1.0, range [0-inf]",
xmltag='lcKeepRight',
))
self.add_col(
am.ArrayConf(
'sublane_alignments_lat',
ALIGNMMENTS_LAT[0],
dtype='object',
groupnames=['parameters'],
choices=ALIGNMMENTS_LAT,
name='sublane alignment',
info='Lateral alignment within a lane. For sublane model only.',
xmltag='latAlignment',
))
self.add_col(
am.ArrayConf(
'sublane_speeds_max_lat',
1.0,
groupnames=['parameters'],
name='Sublane max. speed',
unit='m/s',
info=
"The vehicle's maximum velocity in lateral direction. For sublane model only.",
xmltag='maxSpeedLat',
))
self.add_col(
am.ArrayConf(
'sublane_gaps_min_lat',
0.12,
groupnames=['parameters'],
name='Sublane min. gap',
unit='m',
info=
"The vehicle's minimum distance to other vehicles in lateral direction. For sublane model only.",
xmltag='minGapLat',
))
self.add_col(
am.ArrayConf(
'sublane_alignments_eager',
1.0,
groupnames=['parameters'],
name='Sublane eager',
info=
"The eagerness using the configured lateral alignment within the lane. Higher values result in increased willingness to sacrifice speed for alignment. default: 1.0, range [0-inf]. For sublane model only.",
xmltag='lcSublane',
))
self.add_col(
am.ArrayConf(
'sublane_pushyfactors',
0.0,
groupnames=['parameters'],
name='Sublane pushy',
info=
"Willingness to encroach laterally on other drivers. default: 0.0, range 0 or 1. For sublane model only.",
xmltag='lcPushy',
))
def _init_attributes(self):
net = self.parent.get_net()
# lanechange model is now centralized: all vehicle types have the same
# lanechange model.
if self.get_version() < 0.1:
self.delete('lanechangemodels')
self.delete('alignments_lat')
self.delete('speeds_max_lat')
self.delete('gaps_min_lat')
self.add(cm.AttrConf('lanechangemodel', LANECHANGEMODELS[0],
groupnames=['parameters'],
choices=LANECHANGEMODELS,
name='Lanechange model',
info="Lanechange model. The choice of the lanechange model will also determine the choice of lanechange parameters. With model SL2015, sublanes will be simulated.",
#xmltag = 'laneChangeModel',
))
self.add_col(SumoIdsConf('vtype', name='Type name', perm='rw'))
self.add_col(am.ArrayConf('lengths', 5.0,
groupnames=['parameters'],
name='Length',
unit='m',
info="The vehicle's netto-length",
xmltag='length',
))
self.add_col(am.ArrayConf('widths', 2.0,
groupnames=['parameters'],
name='Width',
unit='m',
info="The vehicle's width.",
xmltag='width',
))
self.add_col(am.ArrayConf('heights', 1.5,
groupnames=['parameters'],
name='Height',
unit='m',
info="The vehicle's height.",
xmltag='height',
))
self.add_col(am.ArrayConf('numbers_persons_initial', 1,
groupnames=['parameters'],
name='Passengers',
info="Initial number of persons in the vehicle.",
xmltag='personNumber',
))
self.add_col(am.ArrayConf('capacities_persons', 1,
groupnames=['parameters'],
name='Capacity',
info="Maximum number of persons that fit in a vehicle.",
xmltag='personCapacity',
))
self.add_col(am.ArrayConf('numbers_container', 0,
groupnames=['parameters'],
name='Containers',
info="Initial number of containers on the vehicle.",
xmltag='containerNumber',
))
self.add_col(am.ArrayConf('speeds_max', 70.0,
groupnames=['parameters'],
name='Max. speed',
unit='m/s',
info="The vehicle's maximum velocity",
xmltag='maxSpeed',
))
self.add_col(am.ArrayConf('accels', 0.8,
groupnames=['parameters'],
name='Max. accel.',
unit='m/s^2',
info='The acceleration ability of vehicles of this type',
xmltag='accel',
))
self.add_col(am.ArrayConf('decels', 4.5,
groupnames=['parameters'],
name='Max. decel.',
unit='m/s^2',
info='The acceleration ability of vehicles of this type',
xmltag='decel',
))
self.add_col(am.ArrayConf('taus', 1.0,
groupnames=['parameters'],
name='Reaction',
unit='s',
info="The driver's reaction time in s (actually the minimum time gap)",
xmltag='tau',
))
self.add_col(am.ArrayConf('sigmas', 0.5,
groupnames=['parameters'],
name='Driver',
info='The driver imperfection (between 0 and 1). Used only in follower models SUMOKrauss, SKOrig',
xmltag='sigma',
))
self.add_col(am.ArrayConf('dists_min', 2.5,
groupnames=['parameters'],
name='Min. gap',
unit='m',
info="Minimum empty space after leader.",
xmltag='minGap',
))
self.add_col(am.ArrayConf('times_boarding', 0.5,
groupnames=['parameters'],
name='boarding time',
unit='s',
info="The time required by a person to board the vehicle.",
xmltag='boardingDuration',
))
self.add_col(am.ArrayConf('times_loading', 90.0,
groupnames=['parameters'],
name='loading time',
unit='s',
info="The time required by a person to board the vehicle.",
xmltag='loadingDuration',
))
self.add_col(am.IdsArrayConf('ids_mode', net.modes,
groupnames=['state'],
choices=MODES,
name='Mode',
info='ID of transport mode.',
xmltag='vClass',
))
emissionclasses_xml = {}
for key in EMISSIONCLASSES.keys():
# yes, map onto itself, otherwise choice values are taken
emissionclasses_xml[key] = key
self.add_col(am.ArrayConf('emissionclasses', 'HBEFA3/HDV_D_EU4',
dtype='object',
groupnames=['parameters'],
choices=get_inversemap(EMISSIONCLASSES),
name='Emission',
info="HBEFA3 emission class, see sourceforge.net/apps/mediawiki/sumo/index.php?title=Simulation/Models/Emissions/HBEFA-based",
xmltag='emissionClass',
xmlmap=emissionclasses_xml,
))
self.add_col(am.ArrayConf('impatiences', -1000.0,
groupnames=['parameters'],
name='Impatience',
info="Impatience offset between -1000.0 and 1.0 (-100 or less equals off). Impatience grows at 1/teleport. If 1.0 is reached driver will disrigard priorities.",
xmltag='impatience',
))
self.add_col(am.ArrayConf('shapes_gui', "passenger",
dtype='object',
groupnames=['parameters'],
name='GUI shape',
choices=GUISHAPES,
info="How this vehicle is rendered.",
xmltag='guiShape',
))
self.add_col(am.ArrayConf('colors', np.array((1.0, 1.0, 1.0, 1.0), np.float32),
metatype='color',
groupnames=['parameters'],
name='Color',
info="This vehicle type's color as RGBA tuple with values from 0 to 1.0",
xmltag='color',
))
self.add_col(am.ArrayConf('lanechange_strategies', 1.0,
groupnames=['parameters'],
name='Lane strategy',
info="Lanechange model strategy factor. The eagerness for performing strategic lane changing. Higher values result in earlier lane-changing. default: 1.0, range [0-inf]",
xmltag='lcStrategic',
))
self.add_col(am.ArrayConf('lanechange_coops', 1.0,
groupnames=['parameters'],
name='Lane coop',
info="Lanechange model cooperative factor.The willingness for performing cooperative lane changing. Lower values result in reduced cooperation. default: 1.0, range [0-1]",
xmltag='lcCooperative',
))
self.add_col(am.ArrayConf('lanechange_gains', 1.0,
groupnames=['parameters'],
name='Lane gain',
info="Lanechange model gain factor.The eagerness for performing lane changing to gain speed. Higher values result in more lane-changing. default: 1.0, range [0-inf]",
xmltag='lcSpeedGain',
))
self.add_col(am.ArrayConf('lanechange_rightkeepings', 1.0,
groupnames=['parameters'],
name='Lane right',
info="Lanechange model keep right factor.The eagerness for following the obligation to keep right. Higher values result in earlier lane-changing. default: 1.0, range [0-inf]",
xmltag='lcKeepRight',
))
self.add_col(am.ArrayConf('sublane_alignments_lat', ALIGNMMENTS_LAT[0],
dtype='object',
groupnames=['parameters'],
choices=ALIGNMMENTS_LAT,
name='sublane alignment',
info='Lateral alignment within a lane. For sublane model only.',
xmltag='latAlignment',
))
self.add_col(am.ArrayConf('sublane_speeds_max_lat', 1.0,
groupnames=['parameters'],
name='Sublane max. speed',
unit='m/s',
info="The vehicle's maximum velocity in lateral direction. For sublane model only.",
xmltag='maxSpeedLat',
))
self.add_col(am.ArrayConf('sublane_gaps_min_lat', 0.12,
groupnames=['parameters'],
name='Sublane min. gap',
unit='m',
info="The vehicle's minimum distance to other vehicles in lateral direction. For sublane model only.",
xmltag='minGapLat',
))
self.add_col(am.ArrayConf('sublane_alignments_eager', 1.0,
groupnames=['parameters'],
name='Sublane eager',
info="The eagerness using the configured lateral alignment within the lane. Higher values result in increased willingness to sacrifice speed for alignment. default: 1.0, range [0-inf]. For sublane model only.",
xmltag='lcSublane',
))
self.add_col(am.ArrayConf('sublane_pushyfactors', 0.0,
groupnames=['parameters'],
name='Sublane pushy',
info="Willingness to encroach laterally on other drivers. default: 0.0, range 0 or 1. For sublane model only.",
xmltag='lcPushy',
))
def __init__(self, demand, net, **kwargs):
# print 'Trips.__init__'
self._init_objman(ident='trips',
parent=demand,
name='Trips',
info='Table with trip and route info.',
xmltag=('trips', 'trip', 'ids_sumo'),
**kwargs)
self.add_col(SumoIdsConf('Trip', xmltag='id'))
self.add_col(am.IdsArrayConf('ids_vtype', demand.vtypes,
groupnames=['state'],
name='Type',
info='Vehicle type.',
xmltag='type',
))
self.add_col(am.ArrayConf('times_depart', 0,
dtype=np.int32,
perm='rw',
name='Depart time',
info="Departure time of vehicle in seconds. Must be an integer!",
xmltag='depart',
))
self.add_col(am.IdsArrayConf('ids_edge_depart', net.edges,
groupnames=['state'],
name='ID from-edge',
info='ID of network edge where trip starts.',
xmltag='from',
))
self.add_col(am.IdsArrayConf('ids_edge_arrival', net.edges,
groupnames=['state'],
name='ID to-edge',
info='ID of network edge where trip ends.',
xmltag='to',
))
self.add_col(am.ArrayConf('inds_lane_depart', OPTIONMAP_LANE_DEPART["free"],
dtype=np.int32,
#choices = OPTIONMAP_LANE_DEPART,
perm='r',
name='Depart lane',
info="Departure lane index. 0 is rightmost lane or sidewalk, if existant.",
xmltag='departLane',
xmlmap=get_inversemap(OPTIONMAP_LANE_DEPART),
))
self.add_col(am.ArrayConf('positions_depart', OPTIONMAP_POS_DEPARTURE["random_free"],
dtype=np.float32,
#choices = OPTIONMAP_POS_DEPARTURE,
perm='r',
name='Depart pos',
unit='m',
info="Position on edge at the moment of departure.",
xmltag='departPos',
xmlmap=get_inversemap(
OPTIONMAP_POS_DEPARTURE),
))
self.add_col(am.ArrayConf('speeds_depart', 0.0,
dtype=np.float32,
#choices = OPTIONMAP_SPEED_DEPARTURE,
perm='r',
name='Depart speed',
unit='m/s',
info="Speed at the moment of departure.",
xmltag='departSpeed',
xmlmap=get_inversemap(
OPTIONMAP_SPEED_DEPARTURE),
))
self.add_col(am.ArrayConf('inds_lane_arrival', OPTIONMAP_LANE_ARRIVAL["current"],
dtype=np.int32,
#choices = OPTIONMAP_LANE_ARRIVAL,
perm='r',
name='Arrival lane',
info="Arrival lane index. 0 is rightmost lane or sidewalk, if existant.",
xmltag='arrivalLane',
xmlmap=get_inversemap(
OPTIONMAP_LANE_ARRIVAL),
))
self.add_col(am.ArrayConf('positions_arrival', OPTIONMAP_POS_ARRIVAL["random"],
dtype=np.float32,
#choices = OPTIONMAP_POS_ARRIVAL,
perm='r',
name='Arrival pos',
unit='m',
info="Position on edge at the moment of arrival.",
xmltag='arrivalPos',
xmlmap=get_inversemap(OPTIONMAP_POS_ARRIVAL),
))
self.add_col(am.ArrayConf('speeds_arrival', 0.0,
dtype=np.float32,
#choices = OPTIONMAP_SPEED_ARRIVAL,
perm='r',
name='Arrival speed',
unit='m/s',
info="Arrival at the moment of departure.",
xmltag='arrivalSpeed',
xmlmap=get_inversemap(
OPTIONMAP_SPEED_ARRIVAL),
))
self.add(cm.ObjConf(Routes('routes', self, net)))
# print ' self.routes.get_value()',self.routes.get_value()
self.add_col(am.IdlistsArrayConf('ids_routes', self.routes.get_value(),
name='Route IDs',
info='List of edge IDs constituting the route.',
))
