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\begin{document}
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\title{Real-Time People Mover Safety Using Edge Intelligence on Lifts,
Escalators and Travellators}



\author[1]{Ollencio R.J. D'Souza}%
\author[1]{Subhas Mukhopadhyay}%
\author[1]{Quan Z. Sheng}%
\affil[1]{Affiliation not available}%


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  \date{April 26, 2026}


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\begin{abstract}
Life-threatening situations in and around lifts, escalators, and travellators are known to cause severe injury and, in some cases, death. We research the real-time risk and analyse the recent spate of injuries by "people movers". We analyse these critical systems that follow a consistent pattern of catastrophic failure. Our research reviews the technology, its application, and the risks to humans from using these systems with low awareness of the dangers of careless use. The study identifies parameters that warn against impending failures by increasing awareness of the risk, such as the shear force experienced by human joints whilst stepping on or off systems in operation, especially with distracted, unrestricted children. We investigate and discuss the dangers of carrying forbidden items onto these utilities. Our investigation delves into electro-mechanical people mover technologies and suggests behavioural and ML-based edge intelligence to preempt accidents.%
\end{abstract}%



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