Human Machine Interface: A review for future applications in train driving

Autor: Simon Enjalbert, Livia Maria Gandini, Alexandre Pereda-Banos, Stefano Ricci, Frédéric Vanderhaegen
Přispěvatelé: Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), European Project: 881814,CARBODIN
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Resource Efficient Vehicles Conference
Resource Efficient Vehicles Conference, Jun 2021, Stockholm, Sweden
HAL
Popis: International audience; The paper deals with the description of preliminary research work based on extended investigationfocused on categorized Human Machines Interface (HMI), describing their technical approachesand emerging operational issues. The study aims at reviewing and analysing HMI, their design andcontrol systems currently on the market or in experimental operation. The analysis acts as a reviewmanual on HMI technologies to design customized HMI and analyse the technologies used ortested in the present technological scenario. The paper starts by addressing the systems developedby manufacturers of surface vehicles outside railway field: trucks, cars and ships. It follows withthe performances of simulators developed for various transport systems: rail, cars, aviation andintegrated solutions. Finally, the focus is on the comparative analysis of the performances ofsupporting tools for train driver?s assistance, a synthetic analysis of results and the organizationof the survey among drivers to check expectations and acceptance of potential solutions.
Databáze: OpenAIRE