本文整理汇总了Python中actor.Actor.route方法的典型用法代码示例。如果您正苦于以下问题：Python Actor.route方法的具体用法？Python Actor.route怎么用？Python Actor.route使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类actor.Actor的用法示例。
在下文中一共展示了Actor.route方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _fill
# 需要导入模块: from actor import Actor [as 别名]
# 或者: from actor.Actor import route [as 别名]
def _fill(self, fill_config, actor_config):
"""
Initial filling of lots.
First, the configuration files of the simulation scenario are parsed, then every lot is filled to its specified value.
The actors' parameters which are used to fill the lot are taken from the config JSOBN via a weighted random choice.
"""
''' parse config files '''
fill_file = open(os.path.dirname(__file__) + "/" + fill_config)
fill_json = json.load(fill_file)
init_attributes = fill_json
actor_file = open(os.path.dirname(__file__) + "/" + actor_config)
actor_json = json.load(actor_file)
actor_attributes = actor_json
for i,lot in enumerate(self.lots):
self.percent_occupancy = 0
# do until the lot is full
while self.percent_occupancy < 70:
# get size of actor
size_choices = [(ix*0.5, el) for ix, el in enumerate(actor_attributes["residential"]["size_distribution"])]
size = wr.choice(size_choices)
# get remaining parking time of actor
remaining_park_time_choices = [(ix, el) for ix, el in enumerate(init_attributes["remaining_duration"])]
# parking_time = wr.choice(remaining_park_time_choices) + random.randint(0,1800)
parking_time = wr.choice(remaining_park_time_choices)*3600 + random.randint(-1800,1800)
# build actor attributes
params = {
"size": size,
"color": actor_attributes["residential"]["color"],
"name": actor_attributes["residential"]["name"],
"forbidden_lot_types": actor_attributes["residential"]["forbidden_lot_types"],
"pos": lot.geometry.coords[0],
"rot": 0,
"speed": 0,
"target_speed": 0,
"target_location": None,
"target_node_id": None,
"parking_start_time": self.simulation.start_time,
"parking_time": parking_time-self.simulation.start_time,
"parking_size": size + 2 * random.random(),
"search_tolerance": random.gauss(0.6, 0.1),
"max_search_time": 0,
"init_time": 0,
"technology": None
}
# look for space , occupy and initialize actor there
space = lot.look_for_space(params["pos"], params["parking_size"])
if space == False:
percent_occupancy = lot.lot_percentage()
break
else:
#create actor
actor = Actor(self.simulation.actor_manager, self.simulation.router, params, {"lot": lot, "space":space})
# occupy, place and add actor to lot
lot.occupy(space)
self.simulation.actor_manager.add(actor)
# give current edge parameters to actor:
actor.current_route_element = {
"eid": lot.edge[2]["eid"],
"start_node":lot.edge[2]["start_nid"],
"end_node":lot.edge[2]["end_nid"],
"start_pos": lot.edge[2]["geom"].coords[0],
"end_pos": lot.edge[2]["geom"].coords[-1],
"vecs": []
}
actor.route = []
self.percent_occupancy = lot.lot_percentage()
print "--> filled lots with initial data"