DeepGTT: Learning Travel Time Distributions with Deep Generative Model
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Updated
Mar 25, 2019 - Jupyter Notebook
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
Surface wave Adjoint Travel-time Tomography
Travel time prediction from GPS observations using an HMM
locationallocation: an R package to solve Maximal Coverage Location-Allocation problems using geospatial data
New works about traffic prediction
Tsunami source inversion and travel-time modelling
Using traffic flow and travel preference data to generate individual travel chain on the Highway
Sampo Vesanen's Master's thesis for the University of Helsinki, Department of Geosciences and Geography.
Source code of "Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields."
Cartogram of Swiss Public Transport Travel Time (COM-480)
The travel time comparison application for Sampo Vesanen's University of Helsinki Master's thesis, the shinyapps.io deployment.
ActiveCA: an open data product on active transportation episodes in Canada
The data analysis workflow for the Master's thesis of Sampo Vesanen (University of Helsinki, Department of Geosciences and Geography).
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