Automated Driving (AD) technologies are rapidly transforming road transportation, emphasizing the critical role of Human-Machine Interaction (HMI). In this regard, the paper examines the interaction between Level 4 Autonomous Vehicles (L4 AVs) and human drivers in take-over scenarios within Italian traffic environments. Employing the Dynamic Driving Simulator at Politecnico di Milano, the study presents two simulation environments: an urban roundabout and a Ligurian highway. The research aims to measure the driver response during take-over requests. Questionnaires are used to psychologically analyse the participants. Physiological signals, including ECG, EEG, and EDA, are acquired throughout the entire simulation.

Interaction Between L4 AVs and Human Drivers in Italian Take-over Scenarios / Boscaro, L.; De Guglielmo, V.; Fossati, A.; Galbiati, A.; Gobbi, M.; Mastinu, G.; Previati, G.; Sabbioni, E.; Signorini, M. G.; Somma, A.; Subitoni, L.; Uccello, L.. - (2024), pp. 926-932. ( 16th International Symposium on Advanced Vehicle Control, AVEC 2024 ita 2024) [10.1007/978-3-031-70392-8_130].

Interaction Between L4 AVs and Human Drivers in Italian Take-over Scenarios

Boscaro L.;Fossati A.;Galbiati A.;Gobbi M.;Somma A.;
2024-01-01

Abstract

Automated Driving (AD) technologies are rapidly transforming road transportation, emphasizing the critical role of Human-Machine Interaction (HMI). In this regard, the paper examines the interaction between Level 4 Autonomous Vehicles (L4 AVs) and human drivers in take-over scenarios within Italian traffic environments. Employing the Dynamic Driving Simulator at Politecnico di Milano, the study presents two simulation environments: an urban roundabout and a Ligurian highway. The research aims to measure the driver response during take-over requests. Questionnaires are used to psychologically analyse the participants. Physiological signals, including ECG, EEG, and EDA, are acquired throughout the entire simulation.
2024
Automated driving
Dynamic Driving Simulator
L4 AVs
File in questo prodotto:
File Dimensione Formato  
unpaywall-bitstream-1832844395.pdf

accesso aperto

Tipologia: PDF editoriale (versione pubblicata dall'editore)
Licenza: Creative commons
Dimensione 1.73 MB
Formato Adobe PDF
1.73 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/172681
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact