Research Article

Identifying Recurring Bottlenecks on Urban Expressway Using a Fusion Method Based on Loop Detector Data

Table 1

Bottleneck identification results.

Station ID no.Occurrence timeO-UP (km)O-DOWN (km)Length of bottleneck (km)Duration time (min)Delay (hour)

1208944 ()07:554.882.392.49152.05
08:204.742.841.955.29
08:504.872.762.1151.91
09:304.673.720.9550.98
09:404.863.721.14150.75
10:554.752.881.8750.59
13:154.833.721.1151.05
13:504.732.042.6950.91

1210679 ()06:4519.7317.861.87200.87
07:2019.3716.183.19152.52
11:1019.3216.742.58100.68
12:0019.2816.742.54201.17
12:4019.2617.861.40150.52
15:1019.3017.272.03151.26
15:5019.3716.742.63100.73
16:5019.3617.022.34101.75
17:2019.3117.861.45100.97
18:0019.2216.183.03151.13
19:0519.2617.861.4050.38
19:1519.3517.381.9750.57

1210474 ()08:2523.0621.641.4257.27