Sökning: "travel time prediction"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden travel time prediction.

  1. 1. Implementering av Skogliga Grunddata i hprGallring vid andragallring

    Kandidat-uppsats, SLU/School for Forest Management

    Författare :Felix Nilsson; Joakim Bengtsdahl; [2023]
    Nyckelord :gallring; uppföljning; laserskanning;

    Sammanfattning : Gallring är en av de skogsvårdsåtgärder som utförs i våra skogar för att bemöta de olika skogliga mål som skogsägarna har för sin skog. I Sveriges skogar så utförs gallringsåtgärder på ca 400 000 hektar årligen. LÄS MER

  3. 2. Condition-based Estimation of Ambulance Travel Times

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Lucas Kylberg; [2023]
    Nyckelord :Travel time estimation; Travel time prediction; Emergency vehicles;

    Sammanfattning : Travel time estimation can be used in strategical distribution of ambulances and ambulance stations. A more accurate travel time estimation can lead to a better distribution of these ambulance sites. External factors such as weather and traffic conditions can affect the travel time from a starting location to a destination. LÄS MER

  4. 3. Modeling and quantifying uncertainty in bus arrival timeprediction

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Olof Josefsson; [2023]
    Nyckelord :uncertainty quantification; arrival time prediction;

    Sammanfattning : Public transportation operates in an environment which, due to its nature of numerous possibly influencing factors, is highly stochastic. This makes predictions of arrival times difficult, yet it’s important to be accurate in order to adhere to travelers expectations. LÄS MER

  5. 4. Assessing Machine Learning Algorithms to Develop Station-based Forecasting Models for Public Transport : Case Study of Bus Network in Stockholm

    Master-uppsats, KTH/Transportplanering

    Författare :Mahsa Movaghar; [2022]
    Nyckelord :Public transport; ridership; machine learning; Multiple Linear Regression; Decision Tree; Random Forest; Bayesian Ridge Regression; Neural Networks; Support Vector Machines; K-Nearest Neighbors;

    Sammanfattning : Public transport is essential for both residents and city planners because of its environmentally and economically beneficial characteristics. During the past decade climatechange, coupled with fuel and energy crises have attracted significant attention toward public transportation. LÄS MER

  7. 5. Online Prediction of Network-Level Public Transport Demand : Case Study in Stockholm

    Master-uppsats, KTH/Transportplanering

    Författare :Cheng Zhong; [2022]
    Nyckelord :;

    Sammanfattning : Public transport, a vital part of transportation systems, plays an essential role in our society to reduce many social issues. however, the issue of mismatching in operation and management in public transport causes passenger dissatisfaction and waste of energy. LÄS MER