|DUZ ALESSANDRA||Cycle: XXXIII |
Section: Systems and Control
Tutor: GARATTI SIMONE
Advisor: CORNO MATTEO Major Research topic
:Eco-efficient smart mobility: a focus on the human factorAbstract:
Smart mobility enhances eco-efficient human locomotion with the active control of energy sources and vehicle dynamics. This leads to a change in the role of the human subject as a driver at different extents, which is significant in terms of ride quality perception. However, the methods to deal with the human factor in smart mobility applications are still an open issue. The author proposes a novel approach for the development of eco-efficient smart mobility strategies with a focus on the human factor. For the sake of completeness, the author considers different levels of engagement of the person, from fully autonomous mobility to supervised human mobility. The common focus is on the balance between energy consumption and human trip experience, where the latter is defined differently according to the type of human involvement. At one extreme is the comfort analysis of a completely passive human subject, which follows the deployment of a fully autonomous driving system. The author proposes a computationally affordable speed planner, which optimizes a tunable trade-off between energy consumption and passenger comfort: we evaluate the former through the modeling and experimental identification of the powertrain dynamics, the latter through a frequency-based evaluation of comfort and motion sickness incidence. Additionally, an experimental study on the identification of human passenger dynamics gives a contribution to the existent science on motion sickness effects. A middle level of human entanglement is identified in power-assisted cycles. More specifically the author analyses the usage of hybrid bicycles in the context of a bike-sharing free-floating service. We propose a motor control strategy to tackle simultaneously the stabilization of the long-term system energy dynamics and the satisfaction of the cyclist expectations, through smart usage of the system efficiencies. The result is a user-adaptive control that obtains the energetic and economic sustainability of the service while reducing cycling effort and improving the cycling experience. Finally, the author considers the enhancement of human mobility through the supervision of the body status, specifically we analyze the potential of a novel wearable sensor for respiratory measurements in the identification of the energy optimal run gait of an athlete.