Research Article

Testing the Generality of a Passenger Disregarded Train Dwell Time Estimation Model at Short Stops: Both Comparison and Theoretical Approaches

Table 1

Main features of existing dwell time estimation models.

SourcePassenger traffic dependencyModel methodologyValidationRailway modeStation type
Stations and linesCountry

Lam, 1988PrLr3S on 3LHKGSubwayIch
Lin, 1992PrNLr2S on 1LUSALight rail
Puong, 2000PrNLr2S on 1LUSASubwayIch and Ime
Buchmueller et al., 2008 [16]PrDiSWEHsr
Zhang et al., 2008 [3]PrMi3S on 3LCHNSubwayIch and Ime
Hansen, 2010PdLr2S on 1LNEDHsrIme
Jong, 2011PrLr1S on 1LTPEHsrIch
Sourd, 2011PrMi1S on 1LFRAHsr
Yamamura, 2013PrMiJPNSubway
Kecman, 2015PdLrNEDHsrIch and Ime
Seriani, 2015PrMiSubway
Hänseler et al., 2015 [17]PrMi1S on 1LSWEHsrIch
Li, 2016PdNLr1S on 1LNEDCrIme

This paperPdNLr1S on 1L
and
7S on 1L
NED
and
CHN
Cr
and
subway
Ich and Ime

Note. Pr: passenger regarded; Pd: passenger disregarded; Lr: linear regression; NLr: nonlinear regression; Mi: microscopic simulation; Di: distribution; 3S on 3L: 3 stations on 3 lines (other abbreviations et cetera); HKG/USA/CHN and others: the acronym of countries; Hsr: high-speed railway; Cr: commuter railway; Ich: interchange station; Ime: intermediate station.