Solid waste management is a global issue that affects everyone. The management of waste collection routes is a critical challenge in urban environments, primarily due to inefficient routing. This thesis investigates the use of real-time virtual replicas, namely Digital Twins to optimize waste collection routes. By leveraging the capabilities of digital twins, this study intends to improve the effectiveness and efficiency of waste collection operations. The ‘gap’ that the study aims to uncover is hence at the intersection of smart cities, Digital Twins, and waste collection routing. The research methodology comprises of three key components. First, an exploration of five widely used metaheuristic algorithms provides a qualitative understanding of their applicability in vehicle routing, and consecutively waste collection route optimization. Building on this foundation, a simple smart routing scenario for waste collection is presented, highlighting the limitations of a purely Internet of Things (IoT)-based approach. Next, the findings from this demonstration motivate the need for a more data-driven and intelligent solution, leading to the introduction of the Digital Twin concept. Subsequently, a twin framework is developed, which encompasses the technical anatomy and methodology required to create and utilize Digital Twins to optimize waste collection, considering factors such as real-time data integration, predictive analytics, and optimization algorithms. The outcome of this research contributes to the growing concept of smart cities and paves the way toward practical implementations in revolutionizing waste management and creating a sustainable future. ; Sophantering är ett globalt problem som påverkar alla, och hantering av sophämtningsrutter är en kritisk utmaning i stadsmiljöer. Den här avhandlingen undersöker användningen av virtuella kopior i realtid, nämligen digitala tvillingar, för att optimera sophämtningsrutter. Genom att utnyttja digitala tvillingars förmågor, avser den här studien att förbättra ...
Investigating the Use of Digital Twins to Optimize Waste Collection Routes : A holistic approach towards unlocking the potential of IoT and AI in waste management ; Undersökning av användningen av digitala tvillingar för optimering av sophämtningsrutter : Ett holistiskt tillvägagångssätt för att ta del av potentialen för IoT och AI i sophantering
2023-01-01
Hochschulschrift
Elektronische Ressource
Englisch
Internet of Things , Industry 4.0 , Smart Cities , Artificial Intelligence , Travelling Salesman problem , Vehicle Routing Problems , Digital Twins , Waste collection , Optimization , Metaheuristics algorithms , Ant Colony Optimization , Simulated Annealing , Particle Swarm , Tabu Search , Genetic Algorithm , Ontology , Digital Twin Definition Language , Industri 4.0 , Smarta städer , Artificiell intelligens , Digitala tvillingar , Sophämtning , Optimering , Metaheuristika algoritmer , Ant Colony optimering , Simulerad glödgning , Partikelsvärm , Tabu-sökning , Genetisk algoritm , Ontologi , Digitala tvillingar defintitionsspråk , Electrical Engineering , Electronic Engineering , Information Engineering , Elektroteknik och elektronik
DDC: | 629 |
Digitala motorvägen öppen för automatisk identifikation
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Online Contents | 2014