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360. Vehicle Cut Out evaluation scenario

In the vehicle_cut_out evaluation scenario, the vehicle_actor drives ahead of the Ego in the same lane, with the Ego following it. Then, the vehicle_actor changes lanes.

Scenario location: $FTX/logiq/scenario_library_post_match/vehicle_cut_out/vehicle_cut_out

360.1 Actors

The actors associated with this scenario are as follows:

Actor Description Type Depiction
ego Vehicle under test vehicle
vehicle_actor Cut out vehicle vehicle
Figure 1: Vehicle cut out

360.2 Scenario phases

The phase descriptions are as follows:

360.2.1 start_scenario_cut_out

Ego: The Ego is driving in the same lane as the vehicle_actor, following behind it.

vehicle_actor: The vehicle_actor drives ahead of the Ego in the same lane and remains close to the Ego at a distance between min_distance_from_sut_in_time_units and max_distance_from_sut_in_time_units.

360.2.2 side_of_ego_lane

Ego: The Ego continues driving in the same lane.

vehicle_actor: The vehicle_actor changes lanes and continues driving in the lane adjacent to the Ego.

360.3 Parameters

Use these parameters to constrain the scenario. If you do not set a specific value, the default value will be used.

Parameter Type Description Default value
min_start_scenario_phase_duration time Minimal time of the start_scenario_cut_out phase 1sec
max_start_scenario_phase_duration time Maximal time of the start_scenario_cut_out phase 3sec
min_side_of_lane_phase_duration time Minimal time of the side_of_ego_lane phase 0.5sec
max_side_of_ego_lane_phase_duration time Maximal time of the side_of_ego_lane phase 3sec
same_road_limit time The time threshold for the vehicle_actor to be considered as driving on the same road as the Ego 10sec

The input items inherited from the sut.logiq_base_lane_following_scenario scenario are as follows:

Parameter Type Description Default value
min_distance_from_sut_in_time_units time Minimal headway distance between the Ego and the vehicle actor 0sec
max_distance_from_sut_in_time_units time Maximal headway distance between the Ego and the vehicle actor 5sec

The input items inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:

Parameter Type Description Default value
kinds list of evaluation_object_kind The possible kinds of vehicle_actor in the scenario No default value

360.4 Metrics

360.4.1 Coverage

Item Description Range Unit/Type
agent_speed_at_change_lane The speed of the vehicle_actor at the time of the lane change [0..150), every: 10.0 mph
distance_at_change_lane The distance between the vehicle_actor and the Ego at the time of the lane change [0..200), every: 10.0 m
side_of_npc_relative_to_ego_after_lane_change The side of the vehicle_actor relative to the Ego after the lane change left, right av_side
[Click] The coverage items inherited from the sut.logiq_base_lane_following_scenario scenario are as follows:
Item Description Range Unit/Type
ego_min_distance_to_vehicle Minimum distance gap throughout the scenario [0..200), every: 20.0 m
[Click] The coverage items inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:
Item Description Range Unit/Type
vehicle_speed_at_start Speed of the agent at the start of the scenario [0..150), every: 10.0 mph
[Click] The coverage items inherited from the sut.logiq_base_scenario scenario are as follows:
Item Description Range Unit/Type
ego_speed_at_start Longitudinal speed of the Ego at the start of the scenario [0..160), every: 10.0 mph

360.4.2 KPI

[Click] The KPIs inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:
Item Description Range Unit/Type
vehicle_object_kind Object kind as derived from Foretify object, person, cyclist, vehicle, truck, trailer, fod, animal, sign, bus, motorcycle, emergency_vehicle, stationary_vehicle evaluation_object_kind
vehicle_tracking_id The tracking id of the agent as described in the object list data. If the data comes from a generative run, the UID will be used string
vehicle_avg_speed Average longitudinal speed of the agent throughout the scenario mph
vehicle_max_speed Maximum speed of the agent throughout the scenario mph
vehicle_min_speed Minimum speed of the agent throughout the scenario mph
vehicle_max_lon_acceleration Maximum longitudinal acceleration of the agent throughout the scenario mpsps
vehicle_min_lon_acceleration Minimum longitudinal acceleration of the agent throughout the scenario mpsps
ego_min_ttc_to_vehicle Minimal time to collision with the reference vehicle throughout the scenario s
ego_min_mttc_to_vehicle Minimal modified time to collision with the reference vehicle throughout the scenario s
[Click] The KPIs inherited from the sut.logiq_base_scenario scenario are as follows:
Item Description Range Unit/Type
ego_max_lon_acceleration Maximum acceleration of the Ego throughout the scenario mpsps
ego_min_lon_acceleration Minimum acceleration of the Ego throughout the scenario mpsps
ego_min_speed Minimum longitudinal speed of the Ego throughout the scenario mph
ego_avg_speed Average longitudinal speed of the Ego throughout the scenario mph
ego_max_speed Maximum longitudinal speed of the Ego throughout the scenario mph
interval_duration Interval duration of the scenario s