ABSTRACT
This paper aims to introduce and explain a new framework that using standardised engineering principles and methods for Human-in-the-Loop (HiL) when human interactions and feedback are considered in smart Cyber-Physical Systems (CPS). This comes from an industrial need to better understand and predict human behaviour when interacting with CPS, which so far has been mainly addressed for and from ad-hoc solutions. The proposed framework objectives (fully described in the paper) will be achieved integrating in an adaptive Internet of Things system existing and new low-cost technologies, both on street and in-vehicle, with personal experience data coming from psychological, behavioural and physiological processing. This new approach is expected to enormously enhance the effectiveness of the proposed platform enabling a new focus on emotional states (anxiety, stress) and collective/shared feelings (eg. panic) that go substantially beyond the state of the art in urban management delivering new capabilities to the ITS sector.
