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
Tsunami source inversion and travel-time modelling
Using traffic flow and travel preference data to generate individual travel chain on the Highway
New works about traffic prediction
Sampo Vesanen's Master's thesis for the University of Helsinki, Department of Geosciences and Geography.
ActiveCA: an open data product on active transportation episodes in Canada
Seismic Travel-Time and Raypath Utilities
Free, self-hosted Clockwise alternative. Syncs personal Google Calendar to work calendar as "Busy" blocks with travel time via Google Maps. Runs on Google Apps Script.
Clock tile for the Eneco Toon: time, date, day of the week and Waze travel times
Cartogram of Swiss Public Transport Travel Time (COM-480)
Source code of "Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields."
Python client for the Close API: walking, cycling, and public transit travel times from every US census block to nearby amenities
R client for the Close API: walking, cycling, and public transit travel times from every US census block to nearby amenities.
The Bay Area redrawn so that distance means travel time. A time-space cartogram built from OSM routing, traffic data, and transit schedules.
Visualize HSL public transportation region travel times to multiple locations
Phasebound is a turn-based tactical RPG built around time travel mechanics.
The travel time comparison application for Sampo Vesanen's University of Helsinki Master's thesis, the shinyapps.io deployment.
Add a description, image, and links to the travel-time topic page so that developers can more easily learn about it.
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