Spaces:
Sleeping
Sleeping
File size: 2,651 Bytes
e2485ba c64ec47 b49335b 7a78f7e e2485ba f259f2b c64ec47 e2485ba f259f2b e2485ba f259f2b c64ec47 e2485ba f259f2b e2485ba f259f2b e2485ba f259f2b e2485ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | from src.environment import TrafficEnv
from src.models import State, StepResult
from typing import Dict, Any, Optional
class BaseTask:
def __init__(self, config: Dict[str, Any]):
self.config = config
self.env = TrafficEnv(config)
def reset(self, seed: Optional[int] = None) -> State:
return self.env.reset(seed=seed)
def step(self, action_type: int) -> StepResult:
return self.env.step(action_type)
def state(self) -> State:
return self.env.state()
def evaluate(self) -> float:
total_arrived = self.env.total_cleared + max(0,
self.env.north + self.env.south + self.env.east + self.env.west)
if total_arrived == 0 and self.env.total_cleared == 0:
return 1.0
# Accurately map max clearance logic to prevent low-traffic penalties & high-traffic inflation.
expected_arrived = self.env.max_time * self.config.get("arrival_rate", 2.0) * 4 * self.config.get("congestion_multiplier", 1.0)
max_possible = min(float(total_arrived), float(expected_arrived))
clear_score = min(1.0, self.env.total_cleared / max(1.0, max_possible))
avg_wait = self.env.total_waiting_time / max(1, self.env.total_cleared)
max_wait = 30.0
wait_score = max(0.0, 1.0 - (avg_wait / max_wait))
if self.config.get("emergency_prob", 0) > 0:
handled = self.env.emergencies_handled
total_emergencies = self.env.total_emergencies_generated
em_score = (handled / max(1, total_emergencies)) if total_emergencies > 0 else 1.0
# User defined balanced score
total = (0.5 * clear_score) + (0.3 * wait_score) + (0.2 * em_score)
else:
# Rescaled symmetrically if no emergency component applies
total = (0.625 * clear_score) + (0.375 * wait_score)
return min(1.0, max(0.0, total))
class EasyTask(BaseTask):
def __init__(self):
super().__init__({
"max_time": 100,
"arrival_rate": 2.0,
"congestion_multiplier": 1.0,
"emergency_prob": 0.0
})
class MediumTask(BaseTask):
def __init__(self):
super().__init__({
"max_time": 200,
"arrival_rate": 2.2,
"congestion_multiplier": 1.5,
"emergency_prob": 0.0
})
class HardTask(BaseTask):
def __init__(self):
super().__init__({
"max_time": 300,
"arrival_rate": 2.0,
"congestion_multiplier": 1.75,
"emergency_prob": 0.08
})
|