Table 3 Performance analysis of LTCOP-LSTM model for traffic flow prediction in different time periods.
Time interval (Hours) | Traffic flow (vehicles/h ) | Model latency (s) | Error fluctuation (vehicles) | Processing efficiency (%) | Dynamic modeling time (s) | Feature engineering complexity | Number of diverse input features |
|---|---|---|---|---|---|---|---|
0–1 | 1500 | 12.34 | 6.78 | 92.5 | 8.45 | High | 5 |
1–2 | 1800 | 15.22 | 7.15 | 91.0 | 10.37 | Medium | 6 |
2–3 | 1600 | 14.85 | 5.90 | 93.4 | 9.01 | Low | 4 |
3–4 | 2000 | 17.46 | 8.56 | 89.0 | 11.65 | Medium | 7 |
4–5 | 2200 | 16.78 | 9.22 | 88.5 | 10.12 | High | 8 |
5–6 | 2400 | 19.38 | 10.03 | 87.5 | 13.44 | Medium | 5 |
6–7 | 1950 | 13.55 | 7.75 | 90.4 | 8.88 | Low | 6 |
7–8 | 1750 | 15.90 | 8.12 | 91.6 | 9.67 | High | 7 |
