Identifying the Indoor Space Characteristics of an Urban Railway Station Based on Pedestrian Trajectory Data

Table 2

Descriptions of feature vector by clusters and the meaning of the range of feature vector values.

Cluster	Sum of the trajectory point	Average speed	Std. direction angle
	(# of point/m^2, 1-hour)	(m/s)	(degree^2)
1	117	1.31	24
2	377	1.20	87
3	381	1.08	142
4	1488	1.20	53
5	2379	1.00	146
6	3283	1.13	51
Feature vector	High value	↔	Low value
Sum of the trajectory point	High frequency to use		Low frequency to use
Average speed	Good mobility		Poor mobility
Std. direction angle	More conflicts		Less conflicts
	(or less comfortability)		(or more comfortability)