Research Article

Macroscopic Traffic State Estimation: Understanding Traffic Sensing Data-Based Estimation Errors

Table 1

Interpretation of the four clusters based on the cluster centroids and the error distribution characteristics for probe and loop-detector data-based estimates per cluster.


Clusters
1234
Jam inflowFree flowCongestionJam outflow

Cluster
centroids
[km/h]58.596.023.847.7
[veh/km]87.151.3187.4108.9
[veh/h]4596487843695049
[km/(km h)]−0.108−0.001−0.0020.096
Num. obs.60184241889630

Probe
data
error
char.
Mean0.55−0.040.010.05
Variance784.087.948.8455.9
Skewness0.060.72−1.48−0.19
Kurtosis2.996.9117.002.67
JB test1111
Num. obs.3118724846121318441982

Loop-detector
data
error
char.
Mean15.17−0.08−0.40−31.23
Variance115.220.115.4107.5
Skewness0.511.76−0.171.03
Kurtosis3.4319.508.755.25
JB test1111
Num. obs.60184241889630