The actors associated with this scenario are as follows:
Actor
Description
Type
Depiction
ego
Vehicle under test
vehicle
vehicle_actor
Vehicle driving ahead of the Ego in the same lane
vehicle
Figure 1: Lead vehicle
163.2 Scenario phases
The phase descriptions are as follows:
Ego: The Ego drives in the same lane at a speed above ego_vehicle_min_moving_speed and maintains its position within the lane_departure_threshold tolerance.
163.3 Configuration parameters
Use these parameters to constrain the scenario. If you do not set a specific value, the default value will be used.
Parameter
Type
Unit
Description
Default value
minimum_scenario_duration
time
s
Minimum execution duration of the lead_vehicle scenario
2s
lead_vehicle_min_moving_speed
speed
kph
Minimum speed of the vehicle_actor. Designed to prevent false positive matches of vehicles that are standing still
1kph
lane_departure_threshold
length
m
Tolerance of lane calculation
1m
same_road_limit
time
s
Time threshold for the vehicle_actor to be considered as driving on the same road as the Ego
10s
minimum_time_gap_threshold
time
s
Minimum time gap for a vehicle to qualify as the lead_vehicle
0.1s
minimum_distance_threshold
length
m
Minimum distance for a vehicle to qualify as the lead_vehicle
1m
maximum_time_gap_threshold_start
time
s
Maximum time gap for a vehicle to qualify as the lead_vehicle for the start condition
8s
maximum_distance_threshold_start
length
m
Maximum distance for a vehicle to qualify as the lead_vehicle for the start condition
80m
maximum_time_gap_threshold_end
time
s
Maximum time gap for a vehicle to qualify as the lead_vehicle for the end condition
10s
maximum_distance_threshold_end
length
m
Maximum distance for a vehicle to qualify as the lead_vehicle for the end condition
100m
ego_vehicle_min_moving_speed
speed
kph
Minimum speed of the Ego to match the scenario
1kph
[Click] The input items inherited from the sut.logiq_base_lane_following_scenario scenario are as follows:
Parameter
Type
Unit
Description
Default value
min_distance_from_sut_in_time_units
time
s
Minimum headway distance between the Ego and the vehicle actor
0s
max_distance_from_sut_in_time_units
time
s
Maximum headway distance between the Ego and the vehicle actor
5s
[Click] The input items inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:
Parameter
Type
Unit
Description
Default value
kinds
list of evaluation_object_kind
—
Possible kinds of vehicle_actor in the scenario
—
163.4 Metrics
163.4.1 Coverage
Item
Description
Values
Unit/Type
min_vehicle_distance
Minimum distance gap throughout the scenario
[0..100), every: 10.0
m
min_time_gap
Minimum time gap between the Ego and the lead_vehicle
[0..10), every: 1.0
s
[Click] The coverage items inherited from the sut.logiq_base_lane_following_scenario scenario are as follows:
Item
Description
Values
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
Values
Unit/Type
vehicle_speed_at_start
Agent speed at 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
Values
Unit/Type
ego_speed_at_start
Ego longitudinal speed at the start of the scenario
[0..160), every: 10.0
mph
163.4.2 KPI
[Click] The KPIs inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:
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
Agent average longitudinal speed throughout the scenario
mph
vehicle_max_speed
Agent maximum speed throughout the scenario
mph
vehicle_min_speed
Agent minimum speed throughout the scenario
mph
vehicle_max_lon_acceleration
Agent maximum longitudinal acceleration throughout the scenario
mpsps
vehicle_min_lon_acceleration
Agent minimum longitudinal acceleration throughout the scenario
mpsps
ego_min_ttc_to_vehicle
Minimum time to collision with the reference vehicle throughout the scenario
s
ego_min_mttc_to_vehicle
Minimum 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
Values
Unit/Type
ego_max_lon_acceleration
Ego maximum acceleration throughout the scenario
mpsps
ego_min_lon_acceleration
Ego minimum acceleration throughout the scenario
mpsps
ego_min_speed
Ego minimum longitudinal speed throughout the scenario
mph
ego_avg_speed
Ego average longitudinal speed throughout the scenario
mph
ego_max_speed
Ego maximum longitudinal speed throughout the scenario
mph
ego_distance_traveled_during_interval
Total distance traveled by the Ego during the interval
m
interval_duration
Interval duration of the scenario
s
163.5 Log and Error Messages
No scenario-specific log messages.
163.6 Usage
Import the post-match scenario top file and register the matcher in a match: block, overriding only the parameters you need. Any omitted parameters use the defaults listed in Configuration parameters.
The matcher is also available through the shared post-match import bundle: