SECTOR // AWAITING TARGET
LIGHTGBM V2 READY
tune
Prediction Control Desk
explore
calendar_today
schedule
RUSH
thermostat
05. Dynamic Weather Vectors
4 SENSORS
expand_less
wb_sunny Temp
18°C
rainy Rain
0 mm
weather_snowy Snow
0 mm
cloud Cloud
40%
memory
ML Features
20 MODEL INPUTS
Hour Index
—
Day Context
—
Rush Flag
—
Sensor Offset
—
Sensor Lanes
—
API Latency
—
verified
Inference Model
LightGBM V2 · Gradient Boosted
V2
LIGHTGBM V2 // REAL-TIME INFERENCE
TRAFFIC PREDICTION — INFERENCE RESULT
PROJECTED VEHICLE THROUGHPUT
—
vehicles / hour
Nearest PeMS Sensor Lane
sensors
AUTO-MAPPED
Nearest PeMS Sensor
Auto-mapped after predict
Inference Target
—
Historical Basis
—
Target Arterial
—
Sensor Telemetry
—
Sensor Offset
—
Low (<200)
Moderate (200-400)
High (400-600)
Severe (>600)
sensors_off
Awaiting Telemetry Query
Set a location and conditions on the control deck, then run the real LightGBM V2 inference.
report_problem
Prediction Request Failed
radar
Tactical Geospatial Matrix
search
Predicted Flow Intensity
Low (<200 veh/h)
Moderate (200-400)
High (400-600)
Severe (>600 veh/h)