Essays about: "godståg"

Showing result 1 - 5 of 9 essays containing the word godståg.

  1. 1. Machine learning for risk ranking of component failure : A comparative study of traditional- and survival machine learning approaches applied to historical data

    University essay from Uppsala universitet/Datalogi

    Author : Fredrik Nilsson; Fanny Fristedt; [2023]
    Keywords : Machine learning; Survival analysis; Trains; Freight trains; Damage prediction; Maskininlärning; överlevnadsanalys; tåg; godståg; Skadeprediktion;

    Abstract : This master thesis investigates the use of machine learning for predicting and assessing the risk of railway vehicle component failures. Data used for failure prediction often comes with limitations due to the complex nature of maintenance or sometimes requires investments for the extraction of information. READ MORE

  3. 2. Estimating the load weight of freight trains using machine learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Kongpachith; [2023]
    Keywords : Railway freight Transport; Rail Vehicle Weighing; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Machine Learning; Regression; Polynomial Regression; Regression Trees; Random Forest Regression; Support Vector Regression; Järnvägsgods transport; Vägning av järnvägsfordon; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Maskininlärning; Regression; Polynom Regression; Regressionsträd; Random Forest Regression; Support Vector Regression;

    Abstract : Accurate estimation of the load weight of freight trains is crucial for ensuring safe, efficient and sustainable rail freight transports. Traditional methods for estimating load weight often suffer from limitations in accuracy and efficiency. READ MORE

  4. 3. Parametric Studies of Train-Track-Bridge Interaction : An evaluation of the dynamic amplification due to track irregularities for freight transport

    University essay from KTH/Bro- och stålbyggnad

    Author : Rasmus Elm Dahlman; Emil Lundberg; [2021]
    Keywords : Dynamics; dynamic amplification factor; railway bridge; train-track-bridge interaction; vehicle model; track irregularities; PSD; Dynamisk förstoringsfaktor; dynamik; järnvägsbroar; tåg-spår-bro interaktion; fordonsmodell; spårojämnheter; PSD;

    Abstract : In this thesis a train-track-bridge interaction (TTBI) model is developed in order to study the dynamic amplification from track irregularities on railway bridges traversed by freight trains. These simulations are of great importance since rail freight transport is expected to increase in order to meet the climate goals. READ MORE

  5. 4. Artificial Intelligence applications for railway signalling

    University essay from KTH/Transportplanering

    Author : Benjamin Smakic; [2021]
    Keywords : Artificial Intelligence; AI; Machine Learning; ML; Computer Vision; railway signalling; ERTMS level 3; GPS; autonomous train operations; Artificiell Intelligens; Maskininlärning; datorseende; signalteknik; autonoma tåg; självkörande tåg.;

    Abstract : The main purpose of this Master Thesis is to investigate how front-facing, train-mounted cameras and Computer Vision, a type of Artificial Intelligence (AI), can be used to compensate for GPS inaccuracies. By using footage from track-recording cameras, Computer Vision can be utilized to determine the number of tracks and the track occupancy of the train, which would compensate GPS inaccuracies in the lateral positioning. READ MORE

  6. 5. A Digital Test Bench for Pneumatic Brakes

    University essay from KTH/Spårfordon

    Author : Bastian Schick; [2021]
    Keywords : Compressed air brake; Freight train; Modular simulation; Pneumatics; Railways; System modelling; Tryckluftsbroms; Godståg; Modulär Simulering; Pneumatik; Järnväg; Systemmodellering;

    Abstract : This master’s thesis covers the structuring and implementation of a digital testbench for the air brake system of freight trains. The test bench will serveto further improve the existing brake models at Transrail Sweden AB. Theseare used for the optimised calculation of train speed profiles by the DriverAdvisory System CATO. READ MORE