Sökning: "traffic models"
Visar resultat 1 - 5 av 459 uppsatser innehållade orden traffic models.
1. FE-Modelling of Composite Girder tests
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurserSammanfattning : Many of the existing steel-concrete bridges may need to be strengthened, as heavier vehicles areallowed on the Swedish roads. These bridges could possibly be strengthened by post-installingshear connectors. The shear connectors may enhance the load-bearing capacity through a higherdegree of composite action between the steel and concrete interface. LÄS MER
2. Evaluation and Optimization of LTE-V2X Mode 4 under Aperiodic Messages of Variable Size
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Vehicular networks connect vehicles for improved road safety and efficiency with the assistance of wireless information exchange. Vehicular networks are based on the frequent broadcast of awareness messages referred to as CAM (Cooperative Awareness Messages) or BSM (Basic Safety Message) in the ETSI and SAE standards, respectively. LÄS MER
3. 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
4. Capacity Analysis of Åre Ski Resort: A Jackson Network Approach
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : Åre ski resort is the largest and most renowned ski resort in Sweden, offering excellent skiing opportunities, restaurants, and nightlife in a prime location. Meanwhile, it is often subject to heavy traffic during the peak season and has earned a bad reputation for struggling with long lift queues. LÄS MER
5. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. LÄS MER