title: [Application of PMV and PPD indices to predict how Metro passengers evaluate the grade of thermal comfort or discomfort in different temperature conditions].
abstract: The computational P.O. Fanger method was used for the prediction of the Passengers' Evaluation of the different microclimatic situations in carriages of the Metro train. It was shown that the change of the Predicted Mean Vote (PMV) and Predicted Percentage Dissatisfied (PPD) indices can be useful for the inspection of that how set-up parameters of the thermal environment meet specifications for the thermal comfort for passengers in different seasons of the year.
authors.forename: A G
authors.initials: AG
authors.lastname: Leskin
authors.forename: M N
authors.initials: MN
authors.lastname: Evlampieva
authors.forename: N I
authors.initials: NI
authors.lastname: Mineeva
authors.forename: E V
authors.initials: EV
authors.lastname: Timoshenkova
mesh_terms: D000389:Air Conditioning; D003258:Consumer Behavior; D004780:Environment, Controlled; D006801:Humans; D009031:Moscow; D012621:Seasons; D013696:Temperature; D014186:Transportation