Data-Driven Method for Passenger Path Choice Inference in Congested Subway Network

Table 1

Characteristics of relevant works in comparison with our work.

Publications	A	B	C	Model	Data
[13]	Yes	No	Assumption-based	Logit	AFC
[22]	Yes	No	Assumption-based	Probability model	AFC, timetable
[24]	Yes	No	Assumption-based	Clustering	AFC, timetable
[25]	Yes	No	Assumption-based	Clustering	AFC, timetable
[29]	Yes	No	Assumption-based	Logit	RP data + AFC
Our study	Yes	Yes	Data fitting, KS test	Probability model	AFC, timetable, network topology