Sökning: "passenger classification"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden passenger classification.

  1. 1. Anomaly Vibration Classification for Condition Monitoring in Passenger Cars

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Rui Zhou; [2023]
    Nyckelord :;

    Sammanfattning : This research aims to investigate accurate classification of anomalous vibrations produced during vehicle operation. The main research questions are which data can be used as classification criteria, which models can better achieve classification effects, and how to address classification issues under different variables in a car. LÄS MER

  3. 2. Effect of fuel tax on carbon dioxide emissions in Sweden : a panel estimation approach

    Kandidat-uppsats, SLU/Dept. of Economics

    Författare :Hanna Vinberg; [2020]
    Nyckelord :climate policy; CO2 emissions; economics; environmental impact; fuel tax; rural and urban;

    Sammanfattning : Greenhouse gases are increasingly causing both global climate changes and local health issues. In particular, carbon dioxide emissions represent 81% of total greenhouse gas emissions. There is evidence that fuel taxes can be adopted as a mitigation measure to lower greenhouse gas emissions and contribute to climate change adaptation goals. LÄS MER

  4. 3. Analys av nutidens tågindelning : Ett uppdrag framtaget av Trafikverket

    Kandidat-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Viktoria Grek; Molinia Gabrielsson; [2018]
    Nyckelord :Neural network Decision Tree hierarchical clustering Trafikverket Train division; Neurala nätverk Beslutsträd Hieraskisk Klustring Trafikverket Tåguppdelning;

    Sammanfattning : The information used in this paper comes from Trafikverket's delivery monitoring system. It consists of information about planned train missions on the Swedish railways for the years 2014 to 2017 during week four (except planned train missions on Roslagsbanan and Saltsjöbanan). LÄS MER

  5. 4. Risk Assessment based Data Augmentation for Robust Image Classification : using Convolutional Neural Network

    Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Harisubramanyabalaji Subramani Palanisamy; [2018]
    Nyckelord :Safety-Risk assessment; predictive augmentation; convolutional neural network; traffic sign classification; autonomous driving; heavy vehicles; orientation challenges; classification degradation.;

    Sammanfattning : Autonomous driving is increasingly popular among people and automotive industries in realizing their presence both in passenger and goods transportation. Safer autonomous navigation might be very challenging if there is a failure in sensing system. LÄS MER

  7. 5. High-speed railway embankments : a comparison of different regulation

    Master-uppsats, KTH/Jord- och bergmekanik

    Författare :Angelica Alamaa; [2016]
    Nyckelord :High-speed; railway; embankments;

    Sammanfattning : Swedish transport administration initiated this Master Thesis project and the aim was to compare regulations for the design of high-speed railways from three European countries: France, Germany and Spain. The reason why this is of interest for the Swedish transport administration is the design of the first Swedish high-speed railway, called Ostlänken. LÄS MER