Essays about: "Trafikprognoser"
Showing result 1 - 5 of 8 essays containing the word Trafikprognoser.
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1. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. READ MORE
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2. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE
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3. Predicting Buffer Status Report (BSR) for 6G Scheduling using Machine Learning Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In 6G communication, many state-of-the-art machine learning algorithms are going to be implemented to enhance the performances, including the latency property. In this thesis, we apply Buffer Status Report(BSR) prediction to the uplink scheduling process. The BSR does not include information for data arriving after the transmission of this BSR. READ MORE
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4. Off-hour Deliveries as a Sustainable Alternative : A case study of a Swedish recycling company
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : Global climate change is already having a noticeable impact on the environment that threatens the future of all species including humans. Unfortunately, it is currently accelerating and global temperatures will continue to rise in the coming decades mainly due to greenhouse gases produced by human activities in daily life. READ MORE
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5. Long-term vehicle movement prediction using Machine Learning methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The problem of location or movement prediction can be described as the task of predicting the future location of an item using the past locations of that item. It is a problem of increasing interest with the arrival of location-based services and autonomous vehicles. READ MORE
