def test_simple(self):
        event_list_raw_data = [
            (2, 4, 40, 50, "trip_5", 1),
        ]
        transit_connections = list(
            map(lambda el: Connection(*el), event_list_raw_data))
        walk_network = networkx.Graph()
        walk_network.add_edge(1, 2, d_walk=20)
        walk_network.add_edge(3, 4, d_walk=15)
        walk_speed = 1
        source_stop = 1
        target_stop = 4
        transfer_margin = 0
        start_time = 0
        end_time = 50

        pareto_tuples = list()
        pareto_tuples.append(
            LabelTimeSimple(departure_time=20, arrival_time_target=50))

        csa_profile = ConnectionScanProfiler(transit_connections, target_stop,
                                             start_time, end_time,
                                             transfer_margin, walk_network,
                                             walk_speed)
        csa_profile.run()
        source_stop_profile = csa_profile.stop_profiles[source_stop]
        source_stop_pareto_tuples = source_stop_profile.get_final_optimal_labels(
        )

        self._assert_pareto_labels_equal(pareto_tuples,
                                         source_stop_pareto_tuples)
    def test_basics(self):
        csa_profile = ConnectionScanProfiler(self.transit_connections,
                                             self.target_stop, self.start_time,
                                             self.end_time,
                                             self.transfer_margin,
                                             self.walk_network,
                                             self.walk_speed)
        csa_profile.run()

        stop_3_pareto_tuples = csa_profile.stop_profiles[
            3].get_final_optimal_labels()
        self.assertEqual(len(stop_3_pareto_tuples), 1)
        self.assertIn(LabelTimeSimple(32, 35), stop_3_pareto_tuples)

        stop_2_pareto_tuples = csa_profile.stop_profiles[
            2].get_final_optimal_labels()
        self.assertEqual(len(stop_2_pareto_tuples), 2)
        self.assertIn(LabelTimeSimple(40, 50), stop_2_pareto_tuples)
        self.assertIn(LabelTimeSimple(25, 35), stop_2_pareto_tuples)

        source_stop_profile = csa_profile.stop_profiles[self.source_stop]
        source_stop_pareto_optimal_tuples = source_stop_profile.get_final_optimal_labels(
        )

        pareto_tuples = list()
        pareto_tuples.append(
            LabelTimeSimple(departure_time=10, arrival_time_target=35))
        pareto_tuples.append(
            LabelTimeSimple(departure_time=20, arrival_time_target=50))
        pareto_tuples.append(
            LabelTimeSimple(departure_time=32, arrival_time_target=55))

        self._assert_pareto_labels_equal(pareto_tuples,
                                         source_stop_pareto_optimal_tuples)
    def test_last_leg_is_walk(self):
        event_list_raw_data = [(0, 1, 0, 10, "trip_1", 1)]
        transit_connections = list(
            map(lambda el: Connection(*el), event_list_raw_data))
        walk_network = networkx.Graph()
        walk_network.add_edge(1, 2, d_walk=20)

        walk_speed = 1
        source_stop = 0
        target_stop = 2
        transfer_margin = 0
        start_time = 0
        end_time = 50
        pareto_tuples = list()
        pareto_tuples.append(
            LabelTimeSimple(departure_time=0, arrival_time_target=30))

        csa_profile = ConnectionScanProfiler(transit_connections, target_stop,
                                             start_time, end_time,
                                             transfer_margin, walk_network,
                                             walk_speed)
        csa_profile.run()
        found_tuples = csa_profile.stop_profiles[
            source_stop].get_final_optimal_labels()
        self._assert_pareto_labels_equal(found_tuples, pareto_tuples)
示例#4
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    def test_target_node_not_in_walk_network(self):
        event_list_raw_data = [
            (0, 1, 0, 10, "trip_1", 1)
        ]
        transit_connections = list(map(lambda el: Connection(*el), event_list_raw_data))
        walk_speed = 2
        source_stop = 0
        target_stop = 1
        transfer_margin = 0
        start_time = 0
        end_time = 50

        walk_network = networkx.Graph()
        csa_profile = ConnectionScanProfiler(transit_connections, target_stop,
                                             start_time, end_time, transfer_margin,
                                             walk_network, walk_speed)
        csa_profile.run()
        source_profile = csa_profile.stop_profiles[source_stop]
        self.assertEqual(source_profile.evaluate_earliest_arrival_time_at_target(0, 0), 10)
        found_tuples = source_profile.get_final_optimal_labels()
        self.assertEqual(len(found_tuples), 1)
示例#5
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 def test_wrong_event_data_ordering(self):
     event_list_wrong_ordering = [
         (0, 1, 0, 10, "trip_1", 1),
         (1, 2, 10, 20, "trip_2", 1),
         (2, 3, 25, 30, "trip_3", 1),
         (3, 4, 32, 35, "trip_4", 1),
         (1, 3, 32, 40, "trip_5", 1),
         (2, 4, 40, 50, "trip_5", 1)
     ]
     csa_profile = ConnectionScanProfiler(event_list_wrong_ordering, self.target_stop,
                                          self.start_time, self.end_time, self.transfer_margin,
                                          self.walk_network, self.walk_speed)
     self.assertRaises(AssertionError, csa_profile.run)
示例#6
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rc("text", usetex=True)
target_stop_I = AALTO_STOP_ID

params = {
    "targets": [settings.AALTO_STOP_ID],
    "routing_start_time_dep": settings.ROUTING_START_TIME_DEP,
    "routing_end_time_dep": settings.ROUTING_END_TIME_DEP
}

connections = compute.read_connections_pandas()
walk_network = compute.read_transfers_csv()
from gtfspy.routing.connection_scan_profile import ConnectionScanProfiler

csa = ConnectionScanProfiler(connections, target_stop_I, settings.ROUTING_START_TIME_DEP,
                             settings.ANALYSIS_END_TIME_DEP, transfer_margin=180, walk_network=walk_network,
                             walk_speed=70 / 60.0, verbose=True)
csa.run()
profiles = csa.stop_profiles

from_stop_Is = [
    # 123,    # Kamppi (as well)
    # 401,    # Kansanelakelaitos
    # 3356,   # Dipoli
    # 3063,   # Kilon asema
    # 5935,   # Sorvatie
    # 3101,   # lahderannanristi
    # 3373,     # Innopoli
    # 2843      # Vallikatu (Pohjois-Leppavaara)
    ITAKESKUS_STOP_ID,
    MUNKKIVUORI_STOP_ID