383. Traffic density watcher
The vehicle.traffic_density watcher monitors the traffic conditions in the immediate vicinity of a vehicle and emits intervals when traffic density changes across different categories. This watcher provides real-time assessment of traffic conditions in the Ego lane, left lanes, and right lanes, along with an overall traffic density indicator based on established traffic engineering standards.
383.0.1 Start condition
A new interval starts when all the following conditions are met:
- No active interval exists (
data == null) - Lane information is available
- The Ego exists in the simulator
- The Ego's speed is greater than or equal to
min_activation_speed
383.0.2 End condition
An active interval ends when any of the following conditions are met:
1. Category change (with delayed restart):
- The traffic density category changes from one level to another (e.g., from light to moderate)
- The previous interval ends immediately at the current sampling time
- The watcher prevents starting a new interval within the same clock cycle
- The new interval starts at the next clock cycle in which the conditions are met. This ensures distinct start and end timestamps and prevents overlap.
2. Invalid operating conditions (end without restart):
- The Ego's speed drops below the
min_activation_speed - Lane information becomes unavailable
- The interval ends but does not restart automatically
Note
- A new interval starts when all start conditions are met again.
- The check for invalid operating conditions (speed and lane information) runs on every clock tick, not just at sampling intervals. This ensures intervals end promptly when the Ego slows down or leaves the road network, even between sampling times.
383.1 Configuration parameters
The following parameters can be configured to customize the evaluator's behavior.
| Parameter | Type | Description | Default Value |
|---|---|---|---|
detection_range_forward |
length | The forward detection range is the distance from the Ego's current position to the forward detection range. | 100m |
detection_range_backward |
length | The backward detection range is the distance from the Ego's current position to the backward detection range. | 50m |
min_vehicle_speed |
speed | The minimum vehicle speed is the minimum speed at which a vehicle is considered to be moving. | 5kph |
min_activation_speed |
speed | The minimum activation speed is the minimum speed at which the watcher activates. | 5kph |
moderate_traffic_density_threshold |
float | The moderate traffic density threshold is the threshold for the moderate traffic density category. | 19.0 |
heavy_traffic_density_threshold |
float | The heavy traffic density threshold is the threshold for the heavy traffic density category. | 42.0 |
sampling_frequency |
time | The sampling frequency is the frequency at which the watcher samples the traffic density. | 2s |
rolling_window_size |
uint | The rolling window size is the size of the rolling window for the traffic density. | 5 |
light_traffic_density_threshold |
float | The light traffic density threshold is the threshold for the light traffic density category. | No default |
383.2 Metrics
The following metrics are recorded and tracked by the evaluator.
| Metric item | Unit / Type | Description |
|---|---|---|
avg_speed |
kph | Average speed of the Ego during the interval |
ego_lane_traffic_density_category |
enum (no_traffic, light, moderate, heavy, congested, not_available) |
Traffic density category in the Ego lane |
left_lane_traffic_density_category |
enum (no_traffic, light, moderate, heavy, congested, not_available) |
Traffic density category in the left adjacent lane |
right_lane_traffic_density_category |
enum (no_traffic, light, moderate, heavy, congested, not_available) |
Traffic density category in the right adjacent lane |
ego_lane_vehicle_count_avg |
Number of vehicles detected in the Ego lane within the detection range | |
left_lane_vehicle_count_avg |
Number of vehicles detected in the left adjacent lane (if available) | |
right_lane_vehicle_count_avg |
Number of vehicles detected in the right adjacent lane (if available) | |
ego_lane_vehicle_count_minimum |
Minimum number of vehicles detected in the Ego lane within the detection range | |
left_lane_vehicle_count_minimum |
Minimum number of vehicles detected in the left adjacent lane (if available) | |
right_lane_vehicle_count_minimum |
Minimum number of vehicles detected in the right adjacent lane (if available) | |
ego_lane_vehicle_count_maximum |
Maximum number of vehicles detected in the Ego lane within the detection range | |
left_lane_vehicle_count_maximum |
Maximum number of vehicles detected in the left adjacent lane (if available) | |
right_lane_vehicle_count_maximum |
Maximum number of vehicles detected in the right adjacent lane (if available) | |
ego_lane_density |
Spatial traffic density in the Ego lane (vehicles/km/lane) | |
left_lane_density |
Spatial traffic density in the left adjacent lane (vehicles/km/lane) | |
right_lane_density |
Spatial traffic density in the right adjacent lane (vehicles/km/lane) | |
traffic_avg_density |
Mean spatial traffic density across all lanes (vehicles/km/lane) | |
overall_traffic_density_category |
enum (no_traffic, light, moderate, heavy, congested, not_available) |
The overall traffic density category based on average density across all lanes |
total_vehicle_count |
Total number of vehicles detected in the detection range across all lanes | |
ego_lane_avg_speed |
kph | Mean speed of vehicles traveling in the Ego lane |
left_lane_avg_speed |
kph | Mean speed of vehicles traveling in the left adjacent lane |
right_lane_avg_speed |
kph | Mean speed of vehicles traveling in the right adjacent lane |
traffic_avg_speed |
kph | Mean speed of vehicles across all lanes |
383.3 Log and Error Messages
No error messages found.
383.4 Additional information
Custom traffic density interval watcher configuration example
extend top.main:
watcher my_traffic_density_watcher is traffic_density(
vehicle: sut.car,
detection_range_forward: 150m,
detection_range_backward: 75m,
min_vehicle_speed: 10kph,
min_activation_speed: 15kph,
light_traffic_density_threshold: 10.0,
moderate_traffic_density_threshold: 25.0,
heavy_traffic_density_threshold: 50.0,
sampling_frequency: 1s,
rolling_window_size: 3,
log_level: debug_level
)
Traffic density categories
The watcher classifies traffic density into the following five categories based on spatial density of vehicles per kilometer per lane (vehicles/km/lane).
| Category | Density Range | Description | Unit |
|---|---|---|---|
| no_traffic | 0.0 | No vehicles detected in the detection range | |
| light | < 8.0 | Sparse traffic with minimal vehicle interactions | vehicles/km/lane |
| moderate | 8.0 - 19.0 | Stable traffic flow with some vehicle interactions | vehicles/km/lane |
| heavy | 19.0 - 42.0 | Unstable traffic flow where frequent lane changes are difficult due to significant congestion | vehicles/km/lane |
| congested | > 42.0 | Very heavy traffic, near standstill conditions where breakdowns cause major delays | vehicles/km/lane |
| not_available | N/A | Lane information unavailable or invalid density calculation |