Generating Neural Spatial Interaction Tables
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Updated
Jun 11, 2024 - Python
Generating Neural Spatial Interaction Tables
Documentation of the Arabesque flow mapping web application
Sustainable transport planning with R
Using OSMnx, OSRM, and Google Maps Directions API with Python to calculate shortest, fastest, and traffic-based most-efficient routes for a set of origin and destination points
Tools and code samples for solving large network analysis problems in ArcGIS Pro
A data-package including the 2016 TTS origins, TTS destinations, number of jobs and workers at origin and destination, calculated travel times by car and a developed vignette demonstrating analysis which can be conducted using this package.
The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
Helsinki City Bike system analysis.
Paper testing different jittering and routing options for converting OD data to route networks
Stochastic modelling of urban travel demand
Vehicle simulator that exports mobility traces written from real-world maps
Wrangle StreetLight freight origin-destination analysis
A project I did with Land Transport Authority, a statutory board, whose main role is to manage the transportation infra of Singapore which includes public transport like bus and trains. The agency was interested to understand how the bus services were being utilized by commuters during peak hours and if interventions could be introduced to furth…
Estimate origin and destination positions based on smartcard usage time and transit position.
Compute Arc Trajectories for OD data in R
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