Sökning: "Traffic predictions"
Visar resultat 1 - 5 av 55 uppsatser innehållade orden Traffic predictions.
1. Forecasting With Feature-Based Time Series Clustering
Master-uppsats, Jönköping University/Tekniska HögskolanSammanfattning : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. LÄS MER
2. Norrbotniabanans möjligheter till ökad arbetspendling - En kvantitativ studie om Botniabanans effekter kan förutsäga Norrbotniabanans framtid
Kandidat-uppsats, Umeå universitet/Institutionen för geografiSammanfattning : Passenger traffic for train journeys has been limited in northern Sweden due to the fact that the railway has mainly been used in industrial business. The establishment of Botniabanan enabled passenger traffic by train and created a train connection between the cities in the region. LÄS MER
3. Utvärdering av ankomstprognoser för tåg
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Trafik och vägSammanfattning : In this master thesis, an evaluation of arrival forecasts for trains is made to see how various prediction sources compare to each other and how well these reflect reality. Furthermore, this thesis is a sprint of a research project that is carried out and conducted at Lund University of Technology on behalf of the Swedish Transport Administration. LÄS MER
4. Analys av luftkvaliteten på Hornsgatan med hjälp av maskininlärning utifrån trafikflödesvariabler
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Denna studie har syftet att undersöka sambandet mellan luftföroreningar och olika fordonsvariabler, såsom årsmodell, bränsletyp och fordonstyp, på Hornsgatan i Stockholm. Studien avser att besvara vilka faktorer som har störst inverkan på luftkvaliteten. LÄS MER
5. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis focuses on addressing the challenges of resource management in cloud environments, specifically in the context of running resource-optimized applications on Kubernetes. The scale and growth of cloud services, coupled with the dynamic nature of workloads, make it difficult to efficiently manage resources and control costs. LÄS MER