In the fast-paced urban landscapes of today, the demand for advanced route planning solutions that cater to personalized navigation and environmental consciousness is more pressing than ever. In this work we present the Urban Route Planner, a state-of-The-Art framework poised to revolutionize urban navigation by providing tailored route recommendations that not only consider individual preferences but also prioritize environmental factors. Our work delves into the conceptual framework and essential design elements of our proposal, high-lighting its potential to redefine urban navigation by delivering personalized route recommendations that promote environmental awareness and user satisfaction. With a focus on enhancing both the functionality and sustainability of urban transportation, this framework represents a significant step towards a more intelligent and user-centric approach to city navigation. Our results on different cities highlight the viability of our approach, and pave the way for future contributions to this field.
Smart Path Planner: Enhancing Personalized Navigation and Environmental Awareness / Apriyanti, R.; Riccardo, N.; Bedogni, L.. - (2024), pp. 370-375. (Intervento presentato al convegno 9th Annual IEEE/ACM Symposium on Edge Computing, SEC 2024 tenutosi a ita nel 2024) [10.1109/SEC62691.2024.00039].
Smart Path Planner: Enhancing Personalized Navigation and Environmental Awareness
Apriyanti R.;Bedogni L.
2024
Abstract
In the fast-paced urban landscapes of today, the demand for advanced route planning solutions that cater to personalized navigation and environmental consciousness is more pressing than ever. In this work we present the Urban Route Planner, a state-of-The-Art framework poised to revolutionize urban navigation by providing tailored route recommendations that not only consider individual preferences but also prioritize environmental factors. Our work delves into the conceptual framework and essential design elements of our proposal, high-lighting its potential to redefine urban navigation by delivering personalized route recommendations that promote environmental awareness and user satisfaction. With a focus on enhancing both the functionality and sustainability of urban transportation, this framework represents a significant step towards a more intelligent and user-centric approach to city navigation. Our results on different cities highlight the viability of our approach, and pave the way for future contributions to this field.Pubblicazioni consigliate
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