Essays about: "decision making and modeling"

Showing result 1 - 5 of 79 essays containing the words decision making and modeling.

  1. 1. Activity Location Assignment Comparison Using Geospatial Landuse and Building Data in MATSim : A Multi-modal Transport Case Study of Stockholm

    University essay from KTH/Transportplanering

    Author : YU GAO; [2023]
    Keywords : Agent-based model; MATSim; Raster Data; Shapefile Data; OSM; GTFS;

    Abstract : Transport simulation models play a crucial role in transportation planning, design, and operations, allowing for the replication of various scenarios through the incorporation of real-world data and parameters. Recently, agent-based transport models have gained prominence for their ability to simulate intricate metropolitan transport systems. READ MORE

  3. 2. Local Nature Matters : A Story of How Empowerment from Tourism Contributes to Local Nature Stewardship in Rural Communities

    University essay from Linnéuniversitetet/Institutionen för marknadsföring och turismvetenskap (MTS)

    Author : Sarah Nieutin; [2023]
    Keywords : Place attachment; resident empowerment through tourism; nature stewardship; care for nature; resident attitudes towards nature stewardship; nature’s contribution to people framework; social exchange theory;

    Abstract : This Master thesis examines the role of resident empowerment in rural nature tourism in shaping the relations between how residents engage with local places and local nature stewardship in Plouguerneau, France. Through a conceptual framework that includes the concepts of empowerment, place attachment, care for nature, and nature stewardship, the study models the effect of place attachment and care for nature on resident stewardship attitudes and how resident empowerment in tourism mediates this relationship. READ MORE

  4. 3. Using a GIS to enable an economic, land use and energy output comparison between small wind powered turbines and large-scale wind farms: the case of Oslo, Norway.

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Colin Potter; [2023]
    Keywords : Geography; GIS; Wind power; Renewable energy sources; urban wind energy; urban areas; planning; vertical axis wind turbines; comparative studies; urban integrated energy systems; Oslo; Roan; Earth and Environmental Sciences;

    Abstract : Responding to an identified knowledge gap, the study aims to determine if smaller wind turbines located on top of existing urban buildings are more resource efficient (land utilization and economically) than large scale wind farms. To answer this question, using a GIS, the resource efficiency of the Roan wind farm in Northern Norway was compared to a theoretical modeled installation of small-scale wind turbines on top of buildings within a 2km radius study zone in central Oslo. READ MORE

  5. 4. Modeling and Simulation for Forward Arming and Refueling Points : Enhancing efficiency and Decision- making in Military Operations

    University essay from Försvarshögskolan

    Author : Philip Muurmans; [2023]
    Keywords : FARP; military operation; military logistics; military capability; Modeling and Simulation; Monte Carlo simulation; discrete event simulation; IS framework;

    Abstract : This master’s thesis explores the application of Modeling and Simulation (M&S) techniques in military operations involving Forward Arming and Refueling Points (FARP). FARPs play a crucial role in supporting aircraft operations by facilitating deep penetration into enemy territory and ensuring sustained presence in the Area of Operation (AOO). READ MORE

  6. 5. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Isaac Arnold McSey; [2023]
    Keywords : Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

    Abstract : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. READ MORE