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363. Vehicle Merge at Highway Entry evaluation scenario

In the vehicle_merge_at_highway_entry evaluation scenario, the vehicle_actor merges from the merging lane ahead of the Ego into the Ego's lane at the highway entry.

Scenario location: $FTX/logiq/scenario_library_post_match/vehicle_merge/vehicle_merge_at_highway_entry

363.1 Actors

The actors associated with this scenario are as follows:

Actor Description Type Depiction
ego Vehicle under test vehicle
vehicle_actor Merging vehicle vehicle
Figure 1: Vehicle merge at highway entry

363.2 Scenario phases

The phase descriptions are as follows:

363.2.1 start_phase

ego: The Ego drives on the highway and stays in the same lane during the entire phase.

vehicle_actor: The vehicle_actor drives on the highway entry lane and stays in the same lane during the entire phase.

363.2.2 start_merging_phase

ego: The Ego drives on the highway and remains in the same lane throughout the entire phase.

vehicle_actor: The vehicle_actor is starting to merge onto the highway.

363.2.3 end_merging_phase

ego: The Ego drives on the highway, behind the vehicle_actor.

vehicle_actor: The vehicle_actor merges onto the highway from the merging lane into the Ego's lane, ahead of the Ego.

363.3 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_phase_duration time Minimal time of the start_phase phase 0sec
max_start_phase_duration time Maximal time of the start_phase phase 2.5sec
min_start_merged_lane_phase_duration time Minimal time of the start_merged_lane_phase phase 0sec
max_start_merged_lane_phase_duration time Maximal time of the start_merged_lane_phase phase 8sec
min_end_merged_lane_phase_duration time Minimal time of the end_merged_lane_phase phase 0sec
max_end_merged_lane_phase_duration time Maximal time of the end_merged_lane_phase phase 1sec
distance_from_highway_entry_end length The distance from the end of the highway entry to the vehicle_actor in the start_phase -10m
speed_gap_threshold speed The speed gap threshold to detect speed drop of the Ego 10kph

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

363.4 Metrics

363.4.1 Coverage

Item Description Range Unit/Type
ego_speed_at_start_merging Ego speed at the start of the merge phase [0..160), every: 10.0 kph
vehicle_actor_speed_at_start_merging Vehicle_actor speed at the start of the merge phase [0..160), every: 10.0 kph
distance_at_start_merging Distance between the Ego and the vehicle_actor at the start merge phase [0..200), every: 10.0 m
sut_speed_drop_check Is the Ego speed drop detected true, false bool
vehicle_actor_speed_at_end Vehicle_actor speed at the end of the merge phase [0..160), every: 10.0 kph
[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

363.4.2 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