Table 4 Performance analysis of LTCOP-LSTM model in different prediction scenarios.
Scenario | Prediction horizon (min) | Model latency (s) | Average traffic flow (vehicles/h ) | Prediction stability (%) | Data variability (%) | Model update frequency (hours) | Feature selection ratio (%) |
|---|---|---|---|---|---|---|---|
Short-term forecast | 15 | 9.67 | 1600 | 90.4 | 12.5 | 1 | 75.0 |
Medium-term forecast | 30 | 14.32 | 1800 | 86.7 | 15.8 | 3 | 68.2 |
Long-term forecast | 60 | 20.88 | 1400 | 82.1 | 18.3 | 6 | 64.5 |
Adaptive forecasting | 45 | 15.01 | 1750 | 88.6 | 10.2 | 4 | 70.5 |
High-dynamic environment | 20 | 18.55 | 2200 | 79.3 | 25.0 | 2 | 60.0 |
Low-dynamic environment | 30 | 11.45 | 1500 | 91.5 | 8.7 | 5 | 77.8 |
Peak traffic conditions | 10 | 12.98 | 2500 | 75.9 | 20.5 | 1 | 65.1 |
Off-peak traffic conditions | 50 | 13.22 | 1700 | 87.2 | 13.4 | 3 | 72.3 |
