SmartDelivery
Financiado
Machine Learning and the Internet of Things for Optimisation of the Last Mile De...
Scientific advances in recent years have brought to light a series of potentially disruptive technologies in the ICT landscape. They are becoming, and will increasingly become, key enabling technologies for the development of appl...
Scientific advances in recent years have brought to light a series of potentially disruptive technologies in the ICT landscape. They are becoming, and will increasingly become, key enabling technologies for the development of applications and services designed to improve the quality of life of citizens and make processes more efficient. Among these, we can identify some which research has recently focused on with particular attention: Machine Learning and Internet of Things. In this project we propose a combined use of these two technological enablers to solve one of the main issues which all logistics experts have to face: the problem of optimising the last mile delivery (LMD). LMD is a crucial step of the entire delivery process, as it causes bottlenecks and is typically the most costly, problematic and inefficient part. Improving the LMD process in terms of route optimisation using classic approaches is difficult: static algorithms are not suitable, and even heuristic algorithms do not find high-quality solutions, as they do not consider several factors such as unpredictable real-time events which may occur. To address these challenges, a novel hardware/software architecture which exploits real-time vehicles’ positions to continuously improve performances of the routing algorithms is proposed, together with a new IoT-based methodology to automatically/dynamically assign routes to drivers based on the values of a defined sixth senseparameter. A ML module will predict the best among a chosen portfolio of different heuristics/metaheuristics algorithms to optimise the route.
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Duración del proyecto: 46 meses
Fecha Inicio: 2023-04-27
Fecha Fin: 2027-02-28
Fecha Fin: 2027-02-28
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-27
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-MSCA-2022-PF-01-01:
MSCA Postdoctoral Fellowships 2022
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
207K€
Líder del proyecto
UNIVERSIDAD DE SALAMANCA
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores
1148
Total investigadores
1148
N.D. |
Participante