Naslov
Fuzzy Inference System for Automatic Temperature Control in Long Distance Passenger Trains

Autori
Haramina, Hrvoje ; Toš Matija, Maja ; Wagner, Adrian ; Mihaljević, Branko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings - XIII International Scientific Conference “Transport Problems” (TP’2021) / Sładkowski, Aleksander - Katovice : Katowice : Silesian University of Technology, Faculty of Transport and Aviation Engineering, 2021, 200-208

Skup
Transport problems 2021 : 13th International scientific conference

Mjesto i datum
Katowice, Poljska, 28.06.2021. - 30.06.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
railway passenger transport, fuzzy logic, railway automation

Sažetak
In this research with the purpose of improvement of travel comfort the fuzzy inference system for automatic temperature control in long distance passenger trains has been developed. The system can determine the required value of the passenger compartment temperature in the train, considering not only the difference between an outdoor and onboard temperatures but also the parameter of remaining train running time to the next scheduled stop for passenger exchange. The role of this parameter is to gradually adjust the passenger compartment temperature to outdoor air temperature on the next boarding/alighting station, depending on the value of remaining train travel time to reach this station continuously forecasted by traffic control centre and sent to train by radio signal. Additional benefit of this control method is positive impact on passenger safety in cases of extremely high outdoor temperatures on the boarding/alighting station, where a difference between outdoor and onboard temperature in the boarding space of train higher than 8°C may cause health problems to passengers.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Tehnologija prometa i transport

POVEZANOST RADA