DeepGTT: Learning Travel Time Distributions with Deep Generative Model
-
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
Using traffic flow and travel preference data to generate individual travel chain on the Highway
Tsunami source inversion and travel-time modelling
New works about traffic prediction
ActiveCA: an open data product on active transportation episodes in Canada
Sampo Vesanen's Master's thesis for the University of Helsinki, Department of Geosciences and Geography.
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
Source code of "Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields."
Travel Time integration for Home Assistant - calculate travel duration between locations using OpenRouteService or Google Maps
Browser-based reachability map: search a start location, choose travel mode and time limits, visualize Mapbox isochrones, and export contours as GeoJSON or WKT.
London coloured by travel time on foot, by tube, train, bus or car. Static site on GitHub Pages.
Cartogram of Swiss Public Transport Travel Time (COM-480)
Find every public-transport stop reachable from a departure point within a given travel time, plotted on an OSM map
R client for the Close API: walking, cycling, and public transit travel times from every US census block to nearby amenities.
Python client for the Close API: walking, cycling, and public transit travel times from every US census block to nearby amenities
To associate your repository with the travel-time topic, visit your repo's landing page and select "manage topics."