Sökning: "Origin Destination Matrices"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Origin Destination Matrices.

  1. 1. Data-driven methods for estimation of dynamic OD matrices

    Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

    Författare :Ina Eriksson; Lina Fredriksson; [2021]
    Nyckelord :Large-scale mobility data; Dynamic OD matrix; Unsupervised learning; Sensor fusion; Kalman filter; Principal component analysis; Online estimation; OD estimation;

    Sammanfattning : The idea behind this report is based on the fact that it is not only the number of users in the traffic network that is increasing, the number of connected devices such as probe vehicles and mobile sources has increased dramatically in the last decade. These connected devices provide large-scale mobility data and new opportunities to analyze the current traffic situation as they traverse through the network and continuously send out different types of information like Global Positioning System (GPS) data and Mobile Network Data (MND). LÄS MER

  3. 2. Daily pattern recognition of dynamic origin-destination matrices using clustering and kernel principal component analysis

    Master-uppsats, KTH/Transportplanering

    Författare :Zhiwu Dong; [2021]
    Nyckelord :origin-destination; pattern recognition; principal component analysis; kernel principal component analysis; k-means cluster; ursprung-destination; mönsterigenkänning; huvudkomponentanalys; analys av kärnhuvudkomponent; k-medelkluster;

    Sammanfattning : Origin-Destination (OD) matrix plays an important role in traffic management and urban planning. However, the OD estimation demands large data collection which has been done in past mostly by surveys with numerous limitations. LÄS MER

  4. 3. Public transport origin-destination matrices: pattern recognition and short-term prediction

    Master-uppsats, KTH/Numerisk analys, NA

    Författare :Francesco Ferranti; [2020]
    Nyckelord :Statistics; machine learning; clustering; regression; OD matrices; Statistics; machine learning; clustering; regression; OD matrices;

    Sammanfattning : Origin-Destination (OD) matrices are an essential tool in transport planning and management to model user travel patterns. An OD matrix is a picture of the public transport passengers demand in a specific temporal window The use of the metropolitan transportation system as an alternative to private cars enables a decrease of CO2 emissions, air pollution and traffic noise. LÄS MER

  5. 4. Forecasting future delivery orders to support vehicle routing and selection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gustaf Engelbrektsson; [2018]
    Nyckelord :LSTM; Origin Destination Matrices; Recurrent Neural Networks; Prediction; Forecast; Courier Companies;

    Sammanfattning : Courier companies receive delivery orders at different times in advance. Some orders are known long beforehand, some arise with a very short notice. Currently the order delegation, deciding which car is going to drive which order, is performed completely manually by a (TL) where the TL use their experience to guess upcoming orders. LÄS MER

  7. 5. Estimation of Hourly Origin Destination Trip Matrices for a Model of Norrköping

    Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

    Författare :Agnes Lindström; Frida Persson; [2018]
    Nyckelord :Visum; OD-estimation; SPSA; multiple linear regression; macroscopic modelling; traffic demand modelling;

    Sammanfattning : During the last century, the number of car users has increased as an effect of the increasing population growth. To manage the environmental and infrastructural challenges that comes with a more congested traffic network, traffic planning has become of higher importance to analyze the current traffic state and to predict future capacity challenges and effects of investments. LÄS MER