322. Adjacent vehicle scenario

In the adjacent_vehicle evaluation scenario, the Ego drives in one lane and the vehicle_actor drives in an adjacent lane.

Scenario location: $FTX/logiq/scenario_library_post_match/adjacent_vehicles/adjacent_vehicle

322.1 Actors

The actors associated with this scenario are as follows:

Actor	Description	Type	Depiction
`ego`	Vehicle under test	`vehicle`
`vehicle_actor`	Vehicle driving adjacent to the Ego in a neighboring lane	`vehicle`

322.2 Scenario phases

The phase descriptions are as follows:

322.2.1 vehicle_adjacent_to_ego

Ego: The Ego drives in a lane adjacent to the vehicle_actor at a minimum speed of min_speed_threshold at the start of the phase.

vehicle_actor: The vehicle_actor drives in a lane adjacent to the Ego at a minimum speed of min_speed_threshold at the start of the phase. The interval is active while the relative distance to the Ego is between min_relative_distance_to_ego and max_relative_distance_to_ego.

322.3 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_relative_distance_to_ego`	length	Minimal relative distance between the vehicle_actor and the Ego during the scenario	-5m
`max_relative_distance_to_ego`	length	Maximal relative distance between the vehicle_actor and the Ego during the scenario	5m
`min_vehicle_adjacent_to_ego_phase_duration`	time	Minimal time of the `vehicle_adjacent_to_ego` phase	0.1sec
`max_vehicle_adjacent_to_ego_phase_duration`	time	Maximal time of the `vehicle_adjacent_to_ego` phase	10sec
`min_speed_threshold`	speed	Minimal speed of the vehicle actor to match the scenario	2kph
`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_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

322.4 Metrics

322.4.1 Coverage

Item	Description	Range	Unit/Type
`adjacent_vehicle_side`	Vehicle side relative to Ego	left, right	av_side
`adjacent_vehicle_speed_at_end`	Adjacent vehicle speed at the end of the scenario	[0..150), every: 10.0	kph
`faster_vehicle`	Vehicle that is faster at both the start and the end of the scenario. If different vehicles are faster at the start and the end, the value is both	ego, vehicle_actor, both	faster_vehicle

[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

322.4.2 KPI

Item	Description	Range	Unit/Type
`adjacent_vehicle_rel_speed_to_ego_at_start`	Relative speed of the adjacent vehicle to the Ego at the start of the scenario		kph
`ego_speed_at_end`	Ego speed at the end of the scenario		kph
`adjacent_vehicle_rel_speed_to_ego_at_end`	Relative speed of the adjacent vehicle to the Ego at the end of the scenario		kph
`adjacent_vehicle_min_rel_speed_to_ego`	Minimum relative speed of the adjacent vehicle to the Ego throughout the scenario		kph
`adjacent_vehicle_max_rel_speed_to_ego`	Maximum relative speed of the adjacent vehicle to the Ego throughout the scenario		kph
`adjacent_vehicle_avg_rel_speed_to_ego`	Average relative speed of the adjacent vehicle to the Ego throughout the scenario		kph
`adjacent_vehicle_min_lat_distance_to_ego`	Minimum lateral distance of the adjacent vehicle to the Ego throughout the scenario		m
`adjacent_vehicle_max_lat_distance_to_ego`	Maximum lateral distance of the adjacent vehicle to the Ego throughout the scenario		m
`adjacent_vehicle_avg_lat_distance_to_ego`	Average lateral distance of the adjacent vehicle to the Ego throughout the scenario		m
`interval_end_reason`	Reason for the end of the scenario	bumper_alignment, lane_change, unknown	interval_end_reason

[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`	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	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