def test_allocate():
intersections = [
# (x,y) is the place of a intersection
(0, 0),
(0, 2),
(0, 6),
(0, 8),
(0, 12),
(0, 14),
(2, 0),
(2, 2),
(2, 6),
(2, 7),
(2, 8),
(2, 12),
(2, 14),
(3, 0),
(3, 2),
(3, 6),
(3, 7),
(3, 8),
(3, 12),
(3, 14),
(4, 0),
(4, 2),
(4, 4),
(4, 6),
(4, 7),
(4, 8),
(4, 12),
(4, 14),
(5, 0),
(5, 2),
(5, 4),
(5, 6),
(5, 8),
(5, 12),
(5, 14),
(7, 0),
(7, 2),
(7, 4),
(7, 6),
(7, 8),
(7, 12),
(7, 14),
]
city = City(intersections, 0, None)
coordinator = TaxiCoordinator(
city=city,
auction_type='first-price',
drivers_schedule=[ #[(0, 12)],
#[(0, 12)],
[10, 24]
],
init_pos=(4, 8))
print(coordinator.drivers)
while city.time_sys.hour_in_sim() < 24:
customer_calls = city.step()
coordinator.allocate(customer_calls)
def test_payoff_bidding():
intersections = [
# (x,y) is the place of a intersection
(0, 0),
(0, 2),
(0, 6),
(0, 8),
(0, 12),
(0, 14),
(2, 0),
(2, 2),
(2, 6),
(2, 7),
(2, 8),
(2, 12),
(2, 14),
(3, 0),
(3, 2),
(3, 6),
(3, 7),
(3, 8),
(3, 12),
(3, 14),
(4, 0),
(4, 2),
(4, 4),
(4, 6),
(4, 7),
(4, 8),
(4, 12),
(4, 14),
(5, 0),
(5, 2),
(5, 4),
(5, 6),
(5, 8),
(5, 12),
(5, 14),
(7, 0),
(7, 2),
(7, 4),
(7, 6),
(7, 8),
(7, 12),
(7, 14),
]
city = City(intersections, 0)
coordinator = TaxiCoordinator(city=city,
auction_type='second-price',
drivers_schedule=[[], [], []],
init_pos=(4, 8))
while city.time_sys.hour_in_sim() < 24:
customer_calls = city.step()
coordinator.allocate(customer_calls)
for driver in coordinator.drivers:
print('Driver-{} payoff {}'.format(driver.idx, driver.get_payoff()))
print('Company payoff', coordinator.get_payoff())
def test_payoff_bidding_city_lambd_schedule():
from util.common import daily_schedules_to_weekly_schedules
intersections = [
# (x,y) is the place of a intersection
(0, 0),
(0, 2),
(0, 6),
(0, 8),
(0, 12),
(0, 14),
(2, 0),
(2, 2),
(2, 6),
(2, 7),
(2, 8),
(2, 12),
(2, 14),
(3, 0),
(3, 2),
(3, 6),
(3, 7),
(3, 8),
(3, 12),
(3, 14),
(4, 0),
(4, 2),
(4, 4),
(4, 6),
(4, 7),
(4, 8),
(4, 12),
(4, 14),
(5, 0),
(5, 2),
(5, 4),
(5, 6),
(5, 8),
(5, 12),
(5, 14),
(7, 0),
(7, 2),
(7, 4),
(7, 6),
(7, 8),
(7, 12),
(7, 14),
]
lambd_schedule = [(7, 9, 3.0), (17, 19, 3.0), (9, 17, 2.0), (19, 23, 2.0)]
city = City(intersections, 0, lambd_schedule)
daily_schedule_for_drivers = [[(8, 12), (14, 23)], [(10, 12)]]
weekly_schedule_for_drivers = daily_schedules_to_weekly_schedules(
daily_schedule_for_drivers)
coordinator = TaxiCoordinator(city=city,
auction_type='second-price',
drivers_schedule=weekly_schedule_for_drivers,
init_pos=(4, 8))
while city.time_sys.hour_in_sim() < 24:
customer_calls = city.step()
coordinator.allocate(customer_calls)
for driver in coordinator.drivers:
print('Driver-{} payoff {}'.format(driver.idx, driver.get_payoff()))
print('Company payoff', coordinator.get_payoff())
config = Config(waiting_time_threshold=args.waiting_time_threshold, payment_ratio=args.payment_ratio)
city = City(config.intersections, initial_hour=0, lambd_schedule=config.city_lambd_schedule)
coordinator = TaxiCoordinator(city=city,
auction_type=args.auction_type,
payment_rule=args.payment_rule,
bidding_strategy=args.bidding_strategy,
drivers_schedule=config.driver_schedules,
init_pos=config.init_pos,
payment_ratio=config.payment_ratio,
driving_velocity=config.driving_velocity,
charge_rate_per_kilometer=config.charge_rate_per_kilometer,
gas_cost_per_kilometer=config.gas_cost_per_kilometer,
waiting_time_threshold=config.waiting_time_threshold)
while city.time_sys.hour_in_sim() < args.timelimit:
customer_calls = city.step()
coordinator.allocate(customer_calls)
if args.bidding_strategy == 'lookahead' and city.time_sys.hour_in_sim() % 8 == 0:
coordinator.train()
logging.info('Update the lookahead policy.')
if args.dump:
coordinator.dump_history_payoff(os.path.join('data', 'company-history-payoff.npy'))
if args.dump:
coordinator.dump_history_calls_json(os.path.join('data', 'history-calls.json'))
# Print driver status
print('===Drivers===')
stats_drivers = []
for driver in coordinator.drivers:
events = driver.generate_complete_schedule(args.timelimit).events
(3, 6),
(3, 7),
(3, 8),
(3, 12),
(3, 14),
(4, 0),
(4, 2),
(4, 4),
(4, 6),
(4, 7),
(4, 8),
(4, 12),
(4, 14),
(5, 0),
(5, 2),
(5, 4),
(5, 6),
(5, 8),
(5, 12),
(5, 14),
(7, 0),
(7, 2),
(7, 4),
(7, 6),
(7, 8),
(7, 12),
(7, 14),
]
city = City(intersections, 0, None)
city.step()