Research Article

Discrete Train Speed Profile Optimization for Urban Rail Transit: A Data-Driven Model and Integrated Algorithms Based on Machine Learning

Table 4

Part of the velocity series after being processed.

(m)ā€‰ ā€‰

1 0 0 0 0 0 0 0
2 9.18 4.64 21 9.657 5 9.9 5.19
3 14.256 9.33 28 14.811 10 14.94 10.16
4 18.612 14.928 34 18.659 15 19.296 16
5 21.492 19.462 38 21.824 20 22.248 20.698
6 24.408 24.646 42 24.593 25 25.128 26.042
7 26.568 28.954 45 27.042 30 27.252 30.468
8 28.764 33.622 48 29.371 35 29.484 35.26
9 30.888 38.652 51 31.442 40 31.608 40.408
10 33.012 44.04 54 33.419 45 33.804 45.918
11 35.172 49.786 57 35.25 50 35.892 51.78
12 36.576 53.812 59 36.991 55 37.296 55.884
13 37.944 57.992 61 38.617 60 38.664 60.14
14 40.068 64.554 64 40.197 65 40.716 66.816
15 41.436 69.118 66 41.709 70 42.156 71.46
16 42.804 73.838 68 43.134 75 43.488 76.254
17 44.172 78.708 70 44.528 80 44.856 81.2
18 45.576 83.732 72 45.897 85 46.224 86.3
19 46.944 88.908 74 47.213 90 47.592 91.552
20 48.204 94.23 76 48.368 95 48.78 96.94