The safe deployment of Connected, Cooperative and Automated Mobility (CCAM) systems needs to take into account advanced human-machine interaction. In fact, CCAM is going to change both the cooperation between the vehicle and the human driver and the interaction with road users. This paper presents DriSMi, an advanced cable-driven dynamic driving simulator that enables safe, affordable and reliable CCAM testing. DriSMi can be used with the objectives of (1) modelling and testing the technology and (2) characterizing and modelling the driver, in particular analysing and modelling the driver’s behaviour, ergonomics and safety in different infrastructure/weather/traffic scenarios. After describing the features of DriSMi, a CCAM scenario and a procedure for assessing the acceptability of Adaptive Cruise Control are presented.

A new generation Cable-driven Dynamic Driving Simulator for the Assessment of CCAM Deployment

F. Cheli;M. Gobbi;G. Mastinu;S. Melzi;G. Previati;E. Sabbioni;A. Cappiello;
2025-01-01

Abstract

The safe deployment of Connected, Cooperative and Automated Mobility (CCAM) systems needs to take into account advanced human-machine interaction. In fact, CCAM is going to change both the cooperation between the vehicle and the human driver and the interaction with road users. This paper presents DriSMi, an advanced cable-driven dynamic driving simulator that enables safe, affordable and reliable CCAM testing. DriSMi can be used with the objectives of (1) modelling and testing the technology and (2) characterizing and modelling the driver, in particular analysing and modelling the driver’s behaviour, ergonomics and safety in different infrastructure/weather/traffic scenarios. After describing the features of DriSMi, a CCAM scenario and a procedure for assessing the acceptability of Adaptive Cruise Control are presented.
2025
Transport Transitions: Advancing Sustainable and Inclusive Mobility. TRAconference 2024
978-3-032-06763-0
Advanced Driver Assistance Systems; CCAM; driver behavior; driving simulator; road safety; virtual simulation environment;
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1286531
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