632 lines
32 KiB
Python
632 lines
32 KiB
Python
# -*- coding: utf-8 -*-
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# @Author: Owl
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# @Date: 2025/10/10 19:51
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# @Description: 路口评价相关的公共函数
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import json
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import logging
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from copy import copy
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import requests
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import proto.xlcomm_pb2 as pb
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from app.global_source import db_tmnet, db_cross
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src_reverse = {'N': 'S', 'S': 'N', 'W': 'E', 'E': 'W', 'NE': 'SW', 'SW': 'NE', 'SE': 'NW', 'NW': 'SE'}
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dir_str_dict = {
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'E': '东', 'S': '南', 'W': '西', 'N': '北', 'NE': '东北', 'SE': '东南', 'SW': '西南', 'NW': '西北'
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}
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int_turn_type2str = {
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0: '直行',
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1: '左转',
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2: '右转',
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3: '掉头'
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}
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int_internet_code2str = {
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0: '无',
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1: '联网',
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2: '脱机',
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3: '未接入'
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}
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int_cross_model2str = {
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1: '快',
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2: '主',
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3: '次',
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4: '支'
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}
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def gen_avg_cross_delay_pb(cross_delay_data_list):
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avg_cross_delay = None
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if len(cross_delay_data_list) == 0:
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return avg_cross_delay
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elif len(cross_delay_data_list) == 1:
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avg_cross_delay = cross_delay_data_list[0]
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return avg_cross_delay
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avg_cross_delay = pb.xl_cross_delayinfo_t()
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avg_cross_delay.crossid = cross_delay_data_list[0].crossid
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avg_cross_delay.tp = cross_delay_data_list[0].tp
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avg_cross_delay.daynum = 0
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sum_car_num, delay_time, stop_times, queue_len, speed, jam_index, park_time, std_flow, high_park_percent, truck_percent, park_percent, move_speed, imbalance_index\
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= 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
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# 路口延误数据指标聚合逻辑
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for item in cross_delay_data_list:
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item_delay_info = item.delay_info()
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item_car_num = item_delay_info.car_num
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if item_car_num != 0:
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sum_car_num += item_car_num
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delay_time += item_delay_info.delay_time * item_car_num
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stop_times += item_delay_info.stop_times * item_car_num
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queue_len += item_delay_info.queue_len * item_car_num
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speed += item_delay_info.speed * item_car_num
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jam_index += item_delay_info.jam_index * item_car_num
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park_time += item_delay_info.park_time * item_car_num
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high_park_percent += item_delay_info.high_park_percent * item_car_num
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truck_percent += item_delay_info.truck_percent * item_car_num
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park_percent += item_delay_info.park_percent * item_car_num
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move_speed += item_delay_info.move_speed * item_car_num
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# imbalance_index += item_delay_info.imbalance_index * item_car_num
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std_flow += item_delay_info.std_flow
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avg_cross_delay.delay_info.car_num = sum_car_num
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avg_cross_delay.delay_info.delay_time = delay_time / sum_car_num
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avg_cross_delay.delay_info.stop_times = stop_times / sum_car_num
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avg_cross_delay.delay_info.queue_len = queue_len / sum_car_num
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avg_cross_delay.delay_info.speed = speed / sum_car_num
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avg_cross_delay.delay_info.jam_index = jam_index / sum_car_num
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avg_cross_delay.delay_info.park_time = park_time / sum_car_num
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avg_cross_delay.delay_info.high_park_percent = high_park_percent / sum_car_num
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avg_cross_delay.delay_info.truck_percent = truck_percent / sum_car_num
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avg_cross_delay.delay_info.park_percent = park_percent / sum_car_num
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avg_cross_delay.delay_info.move_speed = move_speed / sum_car_num
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# avg_cross_delay.delay_info.imbalance_index = imbalance_index / sum_car_num
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avg_cross_delay.delay_info.std_flow = std_flow / len(cross_delay_data_list)
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# 进口道延误数据聚合处理逻辑
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inroad_delay_info_dict = {}
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for item in cross_delay_data_list:
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inroad_delay_infos = item.inroad_delay_infos()
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for inroad_item in inroad_delay_infos:
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inroadid = inroad_item.inroadid
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if inroadid not in inroad_delay_info_dict:
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inroad_delay_info_dict[inroadid] = [inroad_item]
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else:
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inroad_delay_info_dict[inroadid].append(inroad_item)
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flow_delay_list, inroad_delay_pb_list = [], []
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flow_delay_info_dict = {}
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max_stop_times, min_stop_times = 0, 99999
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for inroadid in inroad_delay_info_dict.keys():
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delay_infos = inroad_delay_info_dict[inroadid]
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inroad_sum_car_num, inroad_delay_time, inroad_stop_times, inroad_queue_len, inroad_speed, inroad_jam_index, inroad_park_time, inroad_high_park_percent, inroad_truck_percent, inroad_park_percent, inroad_move_speed, inroad_imbalance_index, inroad_std_flow\
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= 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
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ffs, capacity = delay_infos[0].ffs, delay_infos[0].capacity
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turn_ratio_0, turn_ratio_1, turn_ratio_2, turn_ratio_3 = 0, 0, 0, 0
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for delay_info in delay_infos:
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inroad_sum_car_num += delay_info.car_num
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inroad_delay_time += delay_info.delay_time * delay_info.car_num
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inroad_stop_times += delay_info.stop_times * delay_info.car_num
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inroad_queue_len += delay_info.queue_len * delay_info.car_num
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inroad_speed += delay_info.speed * delay_info.car_num
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inroad_jam_index += delay_info.jam_index * delay_info.car_num
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inroad_park_time += delay_info.park_time * delay_info.car_num
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inroad_high_park_percent += delay_info.high_park_percent * delay_info.car_num
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inroad_truck_percent += delay_info.truck_percent * delay_info.car_num
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inroad_park_percent += delay_info.park_percent * delay_info.car_num
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inroad_move_speed += delay_info.move_speed * delay_info.car_num
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# inroad_imbalance_index += delay_info.imbalance_index * delay_info.car_num
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inroad_std_flow += delay_info.std_flow
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turn_ratio_0 += delay_info.turn_ratio_0
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turn_ratio_1 += delay_info.turn_ratio_1
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turn_ratio_2 += delay_info.turn_ratio_2
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turn_ratio_3 += delay_info.turn_ratio_3
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# 流向级别数据指标聚合处理逻辑
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flow_delay_infos = delay_info.flow_delay_infos
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flow_delay_list.extend(flow_delay_infos)
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inroad_delay_info = pb.xl_inroad_delayinfo_t()
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inroad_delay_info.inroadid = inroadid
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inroad_delay_info.ffs = ffs
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inroad_delay_info.capacity = capacity
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inroad_delay_info.car_num = inroad_sum_car_num
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inroad_delay_info.delay_time = inroad_delay_time / inroad_sum_car_num
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inroad_delay_info.stop_times = inroad_stop_times / inroad_sum_car_num
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if stop_times > max_stop_times:
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max_stop_times = stop_times
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if stop_times < min_stop_times:
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min_stop_times = stop_times
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inroad_delay_info.queue_len = inroad_queue_len / inroad_sum_car_num
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inroad_delay_info.speed = inroad_speed / inroad_sum_car_num
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inroad_delay_info.jam_index = inroad_jam_index / inroad_sum_car_num
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inroad_delay_info.park_time = inroad_park_time / inroad_sum_car_num
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inroad_delay_info.high_park_percent = inroad_high_park_percent / inroad_sum_car_num
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inroad_delay_info.truck_percent = inroad_truck_percent / inroad_sum_car_num
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inroad_delay_info.park_percent = inroad_park_percent / inroad_sum_car_num
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inroad_delay_info.move_speed = inroad_move_speed / inroad_sum_car_num
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# inroad_delay_info.imbalance_index = inroad_imbalance_index / inroad_sum_car_num
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inroad_delay_info.std_flow = inroad_std_flow / len(delay_infos)
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inroad_delay_info.turn_ratio_0 = turn_ratio_0
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inroad_delay_info.turn_ratio_1 = turn_ratio_1
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inroad_delay_info.turn_ratio_2 = turn_ratio_2
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inroad_delay_info.turn_ratio_3 = turn_ratio_3
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inroad_delay_pb_list.append(inroad_delay_info)
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cross_imbalance_index = round((max_stop_times - min_stop_times) / avg_cross_delay.delay_info.stop_times, 2)
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avg_cross_delay.delay_info.imbalance_index = cross_imbalance_index
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for flow_delay_info in flow_delay_list:
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xlink_id = flow_delay_info.xlink_id
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if xlink_id not in flow_delay_info_dict:
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flow_delay_info_dict[xlink_id] = [flow_delay_info]
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else:
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flow_delay_info_dict[xlink_id].append(flow_delay_info)
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for xlink_id in flow_delay_info_dict.keys():
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flow_delay_infos = flow_delay_info_dict[xlink_id]
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inroadid = flow_delay_infos[0].inroadid
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turn_type = flow_delay_infos[0].turn_type
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flow_sum_car_num, flow_delay_time, flow_stop_times, flow_queue_len, flow_speed, flow_jam_index, flow_park_time, flow_high_park_percent, flow_truck_percent, flow_park_percent, flow_move_speed, flow_imbalance_index, flow_std_flow \
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= 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
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for flow_delay_info in flow_delay_infos:
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flow_sum_car_num += flow_delay_info.car_num
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flow_delay_time += flow_delay_info.delay_time * flow_delay_info.car_num
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flow_stop_times += flow_delay_info.stop_times * flow_delay_info.car_num
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flow_queue_len += flow_delay_info.queue_len * flow_delay_info.car_num
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flow_speed += flow_delay_info.speed * flow_delay_info.car_num
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flow_jam_index += flow_delay_info.jam_index * flow_delay_info.car_num
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flow_park_time += flow_delay_info.park_time * flow_delay_info.car_num
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flow_high_park_percent += flow_delay_info.high_park_percent * flow_delay_info.car_num
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flow_truck_percent += flow_delay_info.truck_percent * flow_delay_info.car_num
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flow_park_percent += flow_delay_info.park_percent * flow_delay_info.car_num
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flow_move_speed += flow_delay_info.move_speed * flow_delay_info.car_num
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# flow_imbalance_index += flow_delay_info.imbalance_index * flow_delay_info.car_num
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flow_std_flow += flow_delay_info.std_flow
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flow_info = pb.xl_flow_delayinfo_t()
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flow_info.xlink_id = xlink_id
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flow_info.inroadid = inroadid
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flow_info.turn_type = turn_type
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flow_info.car_num = flow_sum_car_num
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flow_info.delay_time = flow_delay_time / flow_sum_car_num
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flow_info.stop_times = flow_stop_times / flow_sum_car_num
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flow_info.queue_len = flow_queue_len / flow_sum_car_num
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flow_info.speed = flow_speed / flow_sum_car_num
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flow_info.jam_index = flow_jam_index / flow_sum_car_num
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flow_info.park_time = flow_park_time / flow_sum_car_num
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flow_info.high_park_percent = flow_high_park_percent / flow_sum_car_num
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flow_info.truck_percent = flow_truck_percent / flow_sum_car_num
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flow_info.park_percent = flow_park_percent / flow_sum_car_num
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flow_info.move_speed = flow_move_speed / flow_sum_car_num
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# flow_info.imbalance_index = flow_imbalance_index / flow_sum_car_num
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flow_info.std_flow = flow_std_flow / len(flow_delay_infos)
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for inroad_info in inroad_delay_pb_list:
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if inroad_info.inroadid == inroadid:
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inroad_info.flow_delay_infos.append(flow_info)
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inroad_delay_infos_with_imbalance = calc_inroad_imbalance_index(inroad_delay_pb_list)
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avg_cross_delay.inroad_delay_infos.extend(inroad_delay_infos_with_imbalance)
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# 出口道流量数据聚合逻辑
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outroad_delay_info_dict = {}
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for item in cross_delay_data_list:
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outroadid_infos = item.outroadInfos
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for outroadid_info in outroadid_infos:
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outroadid = outroadid_info.outroadid
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if outroadid not in outroad_delay_info_dict:
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outroad_delay_info_dict[outroadid] = [outroadid_info]
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else:
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outroad_delay_info_dict[outroadid].append(outroadid_info)
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for outroadid in outroad_delay_info_dict.keys():
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outroadid_infos = outroad_delay_info_dict[outroadid]
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car_num, turn_ratio_0, turn_ratio_1, turn_ratio_2, turn_ratio_3 = 0, 0, 0, 0, 0
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for outroadid_info in outroadid_infos:
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turn_info = outroadid_info.turn_info
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car_num += turn_info.car_num
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turn_ratio_0 += turn_info.turn_ratio_0
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turn_ratio_1 += turn_info.turn_ratio_1
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turn_ratio_2 += turn_info.turn_ratio_2
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turn_ratio_3 += turn_info.turn_ratio_3
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outroadid_info = pb.xl_outroad_info_t()
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outroadid_info.outroadid = outroadid
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outroadid_info.turn_info.car_num = car_num
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outroadid_info.turn_info.turn_ratio_0 = turn_ratio_0
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outroadid_info.turn_info.turn_ratio_1 = turn_ratio_1
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outroadid_info.turn_info.turn_ratio_2 = turn_ratio_2
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outroadid_info.turn_info.turn_ratio_3 = turn_ratio_3
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avg_cross_delay.outroad_infos.append(outroadid_info)
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return avg_cross_delay
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# 生成路口诊断页面路口概览数据指标的函数
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def gen_overview_index(avg_cross_delay_info, inroad_static_info_dict, nodeid, date_list, roads_dir_dict):
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car_num = avg_cross_delay_info.car_num
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crossid = avg_cross_delay_info.crossid
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jam_index = round(avg_cross_delay_info.jam_index, 2)
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stop_times = round(avg_cross_delay_info.stop_times, 2)
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high_park_percent = str(round(avg_cross_delay_info.high_park_percent, 2)) + '%'
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imbanlance_index = round(avg_cross_delay_info.imbalance_index, 2)
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speed = round(avg_cross_delay_info.speed, 2) * 100
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move_speed = round(avg_cross_delay_info.move_speed, 2) * 100
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park_time = round(avg_cross_delay_info.park_time, 2)
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delay_time = round(avg_cross_delay_info.delay_time, 2)
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high_stop_turn_ratio_desc, main_flow_src_desc = gen_high_stop_turn_ratio_desc(avg_cross_delay_info.inroad_delay_infos, inroad_static_info_dict, car_num)
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tide_index_list = calc_tide_index(crossid, nodeid, date_list, roads_dir_dict)
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usable_tide_list = [item for item in tide_index_list if item['tide_index'] != 0]
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tide_index = round(sum(usable_tide_list) / len(usable_tide_list), 2)
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service_level = calc_service_level(delay_time)
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overview_res = {
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'jam_index': jam_index,
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'stop_times': stop_times,
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'high_park_percent': high_park_percent,
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'imbanlance_index': imbanlance_index,
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'speed': speed,
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'move_speed': move_speed,
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'park_time': park_time,
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'delay_time': delay_time,
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'service_level': service_level,
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'high_stop_turn_ratio_desc': high_stop_turn_ratio_desc,
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'main_flow_src_desc': main_flow_src_desc,
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'tide_index': tide_index
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}
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return overview_res
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def gen_high_stop_turn_ratio_desc(inroad_delay_infos, inroad_static_info_dict, car_num):
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src_dict, src_desc_list, main_flow_src_list = {}, [], []
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for inroad_info in inroad_delay_infos:
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inroadid = inroad_info.inroadid
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inroad_car_num = inroad_info.car_num
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src_dir = dir_str_dict[inroad_static_info_dict[inroadid]['src_direct']]
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if inroad_car_num / car_num > 0.25:
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check_res = found_max_car_num_flow(inroad_car_num, inroad_info)
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if check_res != -1:
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main_flow_src_list.append(src_dir + int_turn_type2str[check_res])
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flow_delay_infos = inroad_info.flow_delay_infos
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for item in flow_delay_infos:
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if item.stop_times >= 1:
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turn_type = int_turn_type2str[item.turn_type]
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if src_dir not in src_dict.keys():
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src_dict[src_dir] = [turn_type]
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else:
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src_dict[src_dir].append(turn_type)
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for item in src_dict.keys():
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src_desc_list.append(item + '/'.join(src_dict[item]))
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return '、'.join(src_desc_list) if src_desc_list else '无', '、'.join(main_flow_src_list) if main_flow_src_list else '无'
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def found_max_car_num_flow(inroad_car_num, inroad_info):
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data_list = [inroad_info.turn_ratio_0, inroad_info.turn_ratio_1, inroad_info.turn_ratio_2, inroad_info.turn_ratio_3]
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for i in range(len(data_list)):
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if data_list[i] / inroad_car_num > 0.5:
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return i
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return -1
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def query_cross_ledger_info(crossid, nodeid, area_id, userid):
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ledger_url = f"http://120.53.125.169:7070/api/common/cross_ledger_detail?crossid={crossid}&crossno=&nodeid={nodeid}&area_id={area_id}&userid={userid}"
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headers = {"Content-Type": "application/json"}
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cross_ledger_info = requests.get(ledger_url, headers=headers)
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if cross_ledger_info.status_code != 200 or cross_ledger_info.json()['status'] != 0:
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logging.error(f"查询路口台账信息失败,crossid:{crossid},nodeid:{nodeid},area_id:{area_id},userid:{userid}")
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return None, None
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division_list, company_list, slc_company_dict, slckind_list, detector_type_dict = gen_ledger_base_info(nodeid, area_id)
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cross_ledger_info_dict = json.loads(cross_ledger_info.text)
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slc_company = cross_ledger_info_dict['data']['ledger']['slc_company']
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location = cross_ledger_info_dict['data']['ledger']['location']
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slc_company_name = slc_company_dict[slc_company] if slc_company in slc_company_dict.keys() else '-'
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internet = cross_ledger_info_dict['data']['ledger']['internet']
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internet_str = int_internet_code2str[internet]
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primary = cross_ledger_info_dict['data']['ledger']['primary']
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secondary = cross_ledger_info_dict['data']['ledger']['secondary']
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cross_model = int_cross_model2str[primary] + '-' + int_cross_model2str[secondary]
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light_infos = cross_ledger_info_dict['data']['light_infos']
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src_light_dict = gen_dir_light_info_dict(light_infos)
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roads = cross_ledger_info_dict['data']['roads']
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dir_list = roads.keys()
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length_info, lane_nums_list, road_special_info = {}, [], {}
|
||
sum_length = 0
|
||
for dir in dir_list:
|
||
dir_length = roads[dir]['topology']['entry']['road_length']
|
||
straight_left_split, reverse_turn, left_turn_waiting_area, straight_turn_waiting_area, reversible_lanes_info, outside_left = 0, 0, 0, 0, 0, 0
|
||
if 2 in src_light_dict[dir] and (1 in src_light_dict[dir] or 3 in src_light_dict[dir]):
|
||
straight_left_split = 1
|
||
if roads[dir]['canaliza']['reverse_turn'] == 1:
|
||
reverse_turn = 1
|
||
if roads[dir]['canaliza']['left_turn_waiting_area'] == 1:
|
||
left_turn_waiting_area = 1
|
||
if roads[dir]['canaliza']['straight_turn_waiting_area'] == 1:
|
||
straight_turn_waiting_area = 1
|
||
if len(roads[dir]['canaliza']['reversible_lanes_info']) > 0:
|
||
reversible_lanes_info = 1
|
||
lane_turn_info = roads[dir]['topology']['entry']['lane_turn_info']
|
||
if check_outside_left(lane_turn_info):
|
||
outside_left = 1
|
||
road_special_info[dir_str_dict[dir]] = {
|
||
'straight_left_split': straight_left_split,
|
||
'reverse_turn': reverse_turn,
|
||
'left_turn_waiting_area': left_turn_waiting_area,
|
||
'straight_turn_waiting_area': straight_turn_waiting_area,
|
||
'reversible_lanes_info': reversible_lanes_info,
|
||
'outside_left': outside_left
|
||
}
|
||
lane_nums_list.append([dir_str_dict[dir] + '进口', roads[dir]['entry_lane_num'], dir_str_dict[src_reverse[dir]] + '出口', roads[dir]['exit_lane_num']])
|
||
if dir_length != '-':
|
||
sum_length += dir_length
|
||
length_info[dir] = dir_length
|
||
avg_length = round(sum_length / len(length_info.keys()), 0) if length_info else 0
|
||
cross_static_info = {
|
||
'crossid': crossid,
|
||
'nodeid': nodeid,
|
||
'area_id': area_id,
|
||
'location': location,
|
||
'slc_company': slc_company_name,
|
||
'internet': internet_str,
|
||
'cross_model': cross_model,
|
||
'lane_nums_list': lane_nums_list,
|
||
'road_special_info': road_special_info,
|
||
'length_info': length_info,
|
||
'avg_length': avg_length
|
||
}
|
||
return cross_static_info, cross_ledger_info_dict
|
||
|
||
|
||
def gen_ledger_base_info(nodeid, area_id):
|
||
node_base_params_info = db_tmnet.query_base_info(nodeid, area_id)
|
||
# 下列字段当为空时需在前端展示尚未针对该城市进行配置的同义提示语句
|
||
division_list, company_list, slc_company_dict, slckind_list, detector_type_dict = [], [], {}, [], {}
|
||
for row in node_base_params_info:
|
||
if row['param_type'] == 'division':
|
||
division_list.append(row['param_value'])
|
||
elif row['param_type'] == 'company':
|
||
company_list.append(row['param_value'])
|
||
elif row['param_type'] == 'slc_company':
|
||
slc_company_dict[row['param_code']] = row['param_value']
|
||
elif row['param_type'] == 'slckind':
|
||
slckind_list.append(row['param_value'])
|
||
elif row['param_type'] == 'detector_type':
|
||
detector_type_dict[row['param_code']] = row['param_value']
|
||
return division_list, company_list, slc_company_dict, slckind_list, detector_type_dict
|
||
|
||
|
||
def gen_dir_light_info_dict(light_infos):
|
||
dir_light_dict = {}
|
||
for row in light_infos:
|
||
srcDir = row['srcDir']
|
||
light_type = row['light_type']
|
||
if srcDir not in dir_light_dict.keys():
|
||
dir_light_dict[srcDir] = [light_type]
|
||
else:
|
||
dir_light_dict[srcDir].append(light_type)
|
||
return dir_light_dict
|
||
|
||
|
||
def check_outside_left(lane_turn_info):
|
||
seen_s = False # 是否已出现直行车道
|
||
for func in lane_turn_info:
|
||
if 's' in func: # 当前是直行车道
|
||
seen_s = True
|
||
if seen_s and ('l' in func): # 直行车道右侧出现左转
|
||
return True
|
||
return False
|
||
|
||
|
||
def gen_road_delay_index(avg_cross_delay_info, roads_dir_dict):
|
||
road_delay_infos = []
|
||
if not avg_cross_delay_info:
|
||
return road_delay_infos
|
||
road_delay_infos = avg_cross_delay_info.inroad_delay_infos()
|
||
road_dir = {item['in']: item for item in roads_dir_dict.keys()}
|
||
road_flow_index = {}
|
||
for road_index in road_delay_infos:
|
||
roadid = road_index.inroadid
|
||
if roadid not in road_dir.keys():
|
||
continue
|
||
service_level = calc_service_level(road_delay_infos[road_index].delay_info.delay_time)
|
||
road_flow_index[roadid] = {
|
||
'stop_times': round(road_delay_infos[road_index].delay_info.stop_times, 2),
|
||
'high_park_percent': str(round(road_delay_infos[road_index].delay_info.high_park_percent, 2)) + '%',
|
||
'imbalance_index': round(road_delay_infos[road_index].delay_info.imbalance_index, 2),
|
||
'park_time': round(road_delay_infos[road_index].delay_info.park_time, 2),
|
||
'delay_time': round(road_delay_infos[road_index].delay_info.delay_time, 2),
|
||
'speed': round(road_delay_infos[road_index].delay_info.speed, 2),
|
||
'move_speed': round(road_delay_infos[road_index].delay_info.move_speed, 2),
|
||
'service_level': service_level,
|
||
'flow_delays': {}
|
||
}
|
||
flow_delay_infos = road_delay_infos[road_index].flow_delay_infos
|
||
for flow_delay_info in flow_delay_infos:
|
||
if flow_delay_info.turn_type not in (0, 1):
|
||
continue
|
||
flow_service_level = calc_service_level(flow_delay_info.delay_time)
|
||
road_flow_index[roadid]['flow_delays'][flow_delay_info.turn_type] = {
|
||
'stop_times': round(flow_delay_info.delay_info.stop_times, 2),
|
||
'high_park_percent': str(round(flow_delay_info.delay_info.high_park_percent, 2)) + '%',
|
||
'park_time': round(flow_delay_info.delay_info.park_time, 2),
|
||
'delay_time': round(flow_delay_info.delay_info.delay_time, 2),
|
||
'speed': round(flow_delay_info.delay_info.speed, 2),
|
||
'service_level': flow_service_level,
|
||
'move_speed': round(flow_delay_info.delay_info.move_speed, 2)
|
||
}
|
||
return road_flow_index
|
||
|
||
|
||
def gen_road_dir_dict(cross_ledger_info_dict):
|
||
roads_dir_dict = {}
|
||
if not cross_ledger_info_dict:
|
||
return roads_dir_dict
|
||
roads = cross_ledger_info_dict['data']['roads']
|
||
for dir in roads.keys():
|
||
roads_dir_dict[dir] = {
|
||
'in': roads[dir]['roadid'],
|
||
'out': roads[dir]['out_roadid']
|
||
}
|
||
return roads_dir_dict
|
||
|
||
|
||
def calc_inroad_imbalance_index(inroad_delay_pb_list):
|
||
for item in inroad_delay_pb_list:
|
||
avg_stop_times = item.delay_info.stop_times
|
||
max_stop_times, min_stop_times = 0, 99999
|
||
flow_delay_infos = item.flow_delay_infos
|
||
for flow_delay_info in flow_delay_infos:
|
||
if flow_delay_info.stop_times > max_stop_times:
|
||
max_stop_times = flow_delay_info.stop_times
|
||
if flow_delay_info.stop_times < min_stop_times:
|
||
min_stop_times = flow_delay_info.stop_times
|
||
imbalance_index = round((max_stop_times - min_stop_times) / avg_stop_times, 2)
|
||
item.delay_info.imbalance_index = imbalance_index
|
||
return inroad_delay_pb_list
|
||
|
||
|
||
def gen_flow_turn_rate_index(avg_cross_delay_info, roads_dir_dict):
|
||
road_delay_infos = avg_cross_delay_info.inroad_delay_infos
|
||
outroad_infos = avg_cross_delay_info.outroad_infos
|
||
road_delay_dict = {item.inroadid: item for item in road_delay_infos}
|
||
outroad_info_dict = {item.outroadid: item for item in outroad_infos}
|
||
cross_sum_car_num = sum([item.delay_info.car_num for item in road_delay_infos])
|
||
cross_out_sum_car_num = sum([item.turn_info.out_car_num for item in outroad_infos])
|
||
road_flow_turn_rate = {}
|
||
for dir in roads_dir_dict.keys():
|
||
roadid = roads_dir_dict[dir]['in']
|
||
l_rate, s_rate, r_rate = '-', '-', '-'
|
||
out_l_rate, out_s_rate, out_r_rate = '-', '-', '-'
|
||
in_flow_rate, out_flow_rate = '-', '-'
|
||
if roadid != '-' and roadid in road_delay_dict.keys():
|
||
car_num = road_delay_dict[roadid].delay_info.car_num
|
||
in_flow_rate = round(car_num / cross_sum_car_num, 2) if cross_out_sum_car_num != 0 else '-'
|
||
|
||
flow_delay_infos = road_delay_dict[roadid].flow_delay_infos
|
||
for flow_delay_info in flow_delay_infos:
|
||
if flow_delay_info.turn_type not in (0, 1, 2):
|
||
continue
|
||
if flow_delay_info.turn_type == 0:
|
||
l_rate = round(flow_delay_info.delay_info.car_num / car_num, 2) if car_num != 0 else '-'
|
||
elif flow_delay_info.turn_type == 1:
|
||
s_rate = round(flow_delay_info.delay_info.car_num / car_num, 2) if car_num != 0 else '-'
|
||
elif flow_delay_info.turn_type == 2:
|
||
r_rate = round(flow_delay_info.delay_info.car_num / car_num, 2) if car_num != 0 else '-'
|
||
out_road_id = roads_dir_dict[dir]['out']
|
||
if out_road_id != '-' and out_road_id in outroad_info_dict.keys():
|
||
out_car_num = outroad_info_dict[out_road_id].turn_info.car_num
|
||
out_flow_rate = round(out_car_num / cross_out_sum_car_num, 2) if cross_out_sum_car_num != 0 else '-'
|
||
out_l_rate = round(outroad_info_dict[out_road_id].turn_info.turn_ratio_1 / cross_out_sum_car_num, 2) if cross_out_sum_car_num != 0 else '-'
|
||
out_s_rate = round(outroad_info_dict[out_road_id].turn_info.turn_ratio_0 / cross_out_sum_car_num, 2) if cross_out_sum_car_num != 0 else '-'
|
||
out_r_rate = round(outroad_info_dict[out_road_id].turn_info.turn_ratio_2 / cross_out_sum_car_num, 2) if cross_out_sum_car_num != 0 else '-'
|
||
road_flow_turn_rate[roadid] = {
|
||
'in_flow_rate': in_flow_rate,
|
||
'out_flow_rate': out_flow_rate,
|
||
'l_rate': l_rate,
|
||
's_rate': s_rate,
|
||
'r_rate': r_rate,
|
||
'out_l_rate': out_l_rate,
|
||
'out_s_rate': out_s_rate,
|
||
'out_r_rate': out_r_rate
|
||
}
|
||
return road_flow_turn_rate
|
||
|
||
|
||
def calc_service_level(delay_time):
|
||
if delay_time <= 10:
|
||
service_level = 'A'
|
||
elif 10 < delay_time <= 20:
|
||
service_level = 'B'
|
||
elif 20 < delay_time <= 35:
|
||
service_level = 'C'
|
||
elif 35 < delay_time <= 55:
|
||
service_level = 'D'
|
||
elif 55 < delay_time <= 80:
|
||
service_level = 'E'
|
||
else:
|
||
service_level = 'F'
|
||
return service_level
|
||
|
||
|
||
def calc_tide_index(crossid, nodeid, date_list, roads_dir_dict):
|
||
tide_index_list = []
|
||
am_tp_start, am_tp_end = 't700', '900'
|
||
pm_tp_start, pm_tp_end = 't1700', '1900'
|
||
am_cross_delay_data_list = db_cross.query_cross_delay_info(crossid, nodeid, date_list, am_tp_start, am_tp_end)
|
||
pm_cross_delay_data_list = db_cross.query_cross_delay_info(crossid, nodeid, date_list, pm_tp_start, pm_tp_end)
|
||
date_am_delay_info_dict = {item['day']: item['data'] for item in am_cross_delay_data_list}
|
||
date_pm_delay_info_dict = {item['day']: item['data'] for item in pm_cross_delay_data_list}
|
||
|
||
# 构建对向进口道对
|
||
subtend_road_pair = gen_subtend_road_pair(roads_dir_dict)
|
||
for date in date_list:
|
||
max_am_flow, max_pm_flow, tide_index, max_am_flow_road, max_pm_flow_road = 0, 99999999999, 0, '', ''
|
||
if date not in date_am_delay_info_dict.keys() or date not in date_pm_delay_info_dict.keys():
|
||
tide_index_list.append(tide_index)
|
||
continue
|
||
item_am_cross_delay_info = pb.xl_cross_delayinfo_t()
|
||
item_pm_cross_delay_info = pb.xl_cross_delayinfo_t()
|
||
item_am_cross_delay_info.ParseFromString(date_am_delay_info_dict[date])
|
||
item_pm_cross_delay_info.ParseFromString(date_pm_delay_info_dict[date])
|
||
if not item_am_cross_delay_info or not item_pm_cross_delay_info:
|
||
tide_index_list.append(tide_index)
|
||
continue
|
||
am_inroad_infos = item_am_cross_delay_info.inroad_delay_infos
|
||
pm_inroad_infos = item_pm_cross_delay_info.inroad_delay_infos
|
||
am_inroad_info_dict = {item.inroadid: item for item in am_inroad_infos}
|
||
pm_inroad_info_dict = {item.inroadid: item for item in pm_inroad_infos}
|
||
|
||
# 找出早高峰最高流量的进口道
|
||
for am_inroad_info in am_inroad_infos:
|
||
am_flow = am_inroad_info.delay_info.car_num
|
||
if am_flow > max_am_flow:
|
||
max_am_flow = am_flow
|
||
max_am_flow_road = am_inroad_info.inroadid
|
||
if max_am_flow_road == '' or max_am_flow_road not in subtend_road_pair.keys():
|
||
tide_index_list.append(tide_index)
|
||
continue
|
||
subtend_road_am_flow = am_inroad_info_dict[subtend_road_pair[max_am_flow_road]].delay_info.car_num
|
||
# 如果进口道流量小于20 则无意义
|
||
if min(subtend_road_am_flow, max_am_flow) < 20:
|
||
tide_index_list.append(tide_index)
|
||
continue
|
||
|
||
# 找出晚高峰最高流量的进口道
|
||
for pm_inroad_info in pm_inroad_infos:
|
||
pm_flow = pm_inroad_info.delay_info.car_num
|
||
if pm_flow > max_pm_flow:
|
||
max_pm_flow = pm_flow
|
||
max_pm_flow_road = pm_inroad_info.inroadid
|
||
# 如果路段id为空或不在对向对里，则无意义
|
||
if max_pm_flow_road == '' or max_pm_flow_road not in subtend_road_pair.keys():
|
||
tide_index_list.append(tide_index)
|
||
continue
|
||
subtend_road_pm_flow = pm_inroad_info_dict[subtend_road_pair[max_pm_flow_road]].delay_info.car_num
|
||
if min(subtend_road_pm_flow, max_pm_flow) < 20:
|
||
tide_index_list.append(tide_index)
|
||
continue
|
||
# 如果早晚高峰的最大流量进口道不处于同一个对向对中，则无意义
|
||
if max_pm_flow_road != max_am_flow_road and max_pm_flow_road != subtend_road_pair[max_am_flow_road]:
|
||
tide_index_list.append(tide_index)
|
||
continue
|
||
Fam = max(max_am_flow_road, subtend_road_am_flow) / min(max_am_flow_road, subtend_road_am_flow)
|
||
Fpm = max(max_pm_flow_road, subtend_road_pm_flow) / min(max_pm_flow_road, subtend_road_pm_flow)
|
||
if Fam >= 1.5 and Fpm >= 1.5 and max_pm_flow_road == subtend_road_pair[max_am_flow_road]:
|
||
tide_index = min(Fam, Fpm) / max(Fam, Fpm)
|
||
elif min(Fam, Fpm) <= 0:
|
||
tide_index = 0
|
||
elif max_pm_flow_road == max_am_flow_road:
|
||
tide_index = Fam * Fpm
|
||
tide_index_list.append(tide_index)
|
||
|
||
return tide_index_list
|
||
|
||
|
||
def gen_subtend_road_pair(roads_dir_dict):
|
||
subtend_road_pair = {}
|
||
tmp_road_dir = roads_dir_dict.deepcopy()
|
||
for dir in tmp_road_dir.keys():
|
||
if tmp_road_dir[dir]['in'] == '-':
|
||
continue
|
||
subtend_dir = src_reverse[dir]
|
||
if subtend_dir in tmp_road_dir.keys() and tmp_road_dir[subtend_dir]['in'] != '-':
|
||
subtend_road_pair[tmp_road_dir[dir]['in']] = tmp_road_dir[subtend_dir]['in']
|
||
tmp_road_dir.pop(dir)
|
||
tmp_road_dir.pop(subtend_dir)
|
||
|
||
return subtend_road_pair
|