def _save_stats(self, traffic_code, tot_neg_reward): # save the stats for this episode numb_generated_veh = count_veh.cal_numb_generated_veh(self.get_simu_type_str(traffic_code), is_random = False) if traffic_code == 0: # data low self._reward_store_LOW.append(tot_neg_reward) # how much negative reward in this episode self._cumulative_wait_store_LOW.append(self._sum_intersection_queue) # total number of seconds waited by cars (1 step = 1 second -> 1 car in queue/step = 1 second in queue/step= self._avg_intersection_queue_store_LOW.append(self._sum_intersection_queue / self._max_steps) # average number of queued cars per step, in this episode self._avg_waiting_time_per_veh_LOW.append(self._sum_intersection_queue / numb_generated_veh) if traffic_code == 1: # data high self._reward_store_HIGH.append(tot_neg_reward) self._cumulative_wait_store_HIGH.append(self._sum_intersection_queue) self._avg_intersection_queue_store_HIGH.append(self._sum_intersection_queue / self._max_steps) self._avg_waiting_time_per_veh_HIGH.append(self._sum_intersection_queue / numb_generated_veh) if traffic_code == 2: # da # INIT some vars: self._reward_store_NS.append(tot_neg_reward) self._cumulative_wait_store_NS.append(self._sum_intersection_queue) self._avg_intersection_queue_store_NS.append(self._sum_intersection_queue / self._max_steps) self._avg_waiting_time_per_veh_NS.append(self._sum_intersection_queue / numb_generated_veh) if traffic_code == 3: # data ew self._reward_store_EW.append(tot_neg_reward) self._cumulative_wait_store_EW.append(self._sum_intersection_queue) self._avg_intersection_queue_store_EW.append(self._sum_intersection_queue / self._max_steps) self._avg_waiting_time_per_veh_EW.append(self._sum_intersection_queue / numb_generated_veh) if traffic_code == 4: self._avg_waiting_time_per_veh_RANDOM.append(self._sum_intersection_queue / numb_generated_veh)
def _save_stats(self, traffic_code, tot_neg_reward): # save the stats for this episode self._reward_store.append(tot_neg_reward) # how much negative reward in this episode self._cumulative_wait_store.append(self._sum_intersection_queue) # total number of seconds waited by cars (1 step = 1 second -> 1 car in queue/step = 1 second in queue/step= self._avg_intersection_queue_store.append(self._sum_intersection_queue / self._max_steps) # average number of queued cars per step, in this episode numb_generated_veh = count_veh.cal_numb_generated_veh(self.get_simu_type_str(traffic_code), is_random = False) self._avg_waiting_time_per_veh.append(self._sum_intersection_queue / numb_generated_veh)
def _save_stats(self, traffic_code, tot_neg_reward): # save the stats for this episode
numb_generated_veh = count_veh.cal_numb_generated_veh(self.get_simu_type_str(traffic_code), is_random = True)
if traffic_code == 0: # data low
self._reward_store_LOW.append(tot_neg_reward) # how much negative reward in this episode
# array của [queue_length, ....]
self._cumulative_wait_store_LOW.append(self._sum_intersection_queue) # total number of seconds waited by cars (1 step = 1 second -> 1 car in queue/step = 1 second in queue/step=
# mỗi giây, có bao nhiêu xe đợi?
self._avg_intersection_queue_store_LOW.append(self._sum_intersection_queue / self._max_steps) # average number of queued cars per step, in this episode
self._avg_waiting_time_per_veh_LOW.append(self._sum_intersection_queue / numb_generated_veh)
elif traffic_code == 1: # data high
self._reward_store_HIGH.append(tot_neg_reward)
self._cumulative_wait_store_HIGH.append(self._sum_intersection_queue)
self._avg_intersection_queue_store_HIGH.append(self._sum_intersection_queue / self._max_steps)
self._avg_waiting_time_per_veh_HIGH.append(self._sum_intersection_queue / numb_generated_veh)
elif traffic_code == 2: # data ns
self._reward_store_NS.append(tot_neg_reward)
self._cumulative_wait_store_NS.append(self._sum_intersection_queue)
self._avg_intersection_queue_store_NS.append(self._sum_intersection_queue / self._max_steps)
self._avg_waiting_time_per_veh_NS.append(self._sum_intersection_queue / numb_generated_veh)
elif traffic_code == 3: # data ew
self._reward_store_EW.append(tot_neg_reward)
self._cumulative_wait_store_EW.append(self._sum_intersection_queue)
self._avg_intersection_queue_store_EW.append(self._sum_intersection_queue / self._max_steps)
self._avg_waiting_time_per_veh_EW.append(self._sum_intersection_queue / numb_generated_veh)
def _save_fixed_status(self, traffic_code): # save the stats for this episode
numb_generated_veh = count_veh.cal_numb_generated_veh(self.get_simu_type_str(traffic_code), is_random = False)
if traffic_code == 0: # data low
self._avg_waiting_time_per_veh_LOW_fixed_route.append(self._sum_intersection_queue / numb_generated_veh)
elif traffic_code == 1: # data high
self._avg_waiting_time_per_veh_HIGH_fixed_route.append(self._sum_intersection_queue / numb_generated_veh)
elif traffic_code == 2: # data ns
self._avg_waiting_time_per_veh_NS_fixed_route.append(self._sum_intersection_queue / numb_generated_veh)
elif traffic_code == 3: # data ew
self._avg_waiting_time_per_veh_EW_fixed_route.append(self._sum_intersection_queue / numb_generated_veh)
np.save(constants.path + '_avg_waiting_time_per_veh_LOW_fixed_route.npy', self._avg_waiting_time_per_veh_LOW_fixed_route)
np.save(constants.path + '_avg_waiting_time_per_veh_HIGH_fixed_route.npy', self._avg_waiting_time_per_veh_HIGH_fixed_route)
np.save(constants.path + '_avg_waiting_time_per_veh_NS_fixed_route.npy', self._avg_waiting_time_per_veh_NS_fixed_route)
np.save(constants.path + '_avg_waiting_time_per_veh_EW_fixed_route.npy', self._avg_waiting_time_per_veh_EW_fixed_route)