Sökning: "Transportation Network"
Visar resultat 1 - 5 av 354 uppsatser innehållade orden Transportation Network.
1. A space-time shape for easier spatiotemporal visualization in traffic networks
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER
2. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER
3. Competing for the Curb: A Study of the Impact of Ride-Hailing Companies on Traditional Taxi Services
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : In the bustling streets of Sweden, the emergence of Transportation Network Companies (TNCs) has shaken up the taxi industry, leaving incumbents grappling with the need to adapt their business models. While previous research has explored this phenomenon in other parts of the world, little is known about its impact in Sweden. LÄS MER
4. Towards Sustainable Transport: A case study on modal shift for temperature-controlled goods between northern Norway and central Europe
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : In line with the ambitious sustainability goals set by the European Union to reduce transport emissions, there is a growing interest for sustainable freight transport across Europe. Rail transportation has emerged as a preferred mode of choice for shippers and freight forwarders, given its sustainability advantage of transporting larger volumes on longer distances. LÄS MER
5. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER