Research Article
Research and Application of the Beijing Road Traffic Prediction System
Table 1
MAPE of speed prediction of the largest error.
| Site ID | Prediction interval (mins) | Hour | Speed prediction value | Detected speed value | Traffic flow volume | Occupancy value (%) | Prediction error |
| 13 | 30 | 17 | 45.91 | 9.83 | 1296 | 83.33 | 367.04% | 13 | 5 | 18 | 39.16 | 8 | 1620 | 66.67 | 389.5% | 10 | 15 | 17 | 63.77 | 12.67 | 4764 | 47.44 | 403.35% | 3 | 5 | 14 | 56.95 | 11.17 | 3348 | 71.17 | 409.85% | 7 | 15 | 9 | 64.73 | 12.67 | 1440 | 52.67 | 410.89% | 10 | 5 | 18 | 59.45 | 11.5 | 3762 | 49.83 | 416.96% | 1 | 15 | 10 | 50.32 | 9.08 | 2742 | 65.5 | 454.17% | 3 | 15 | 18 | 54.71 | 9.17 | 2748 | 70.67 | 496.62% | 7 | 5 | 19 | 58.79 | 9.33 | 438 | 63.33 | 530.12% | 13 | 30 | 17 | 61.21 | 9.08 | 2040 | 66.67 | 574.12% |
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