PTRAIL is a state-of-the art parallel computation library for Mobility Data Preprocessing and feature extraction.
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Updated
May 17, 2023 - Python
PTRAIL is a state-of-the art parallel computation library for Mobility Data Preprocessing and feature extraction.
Where to build new bicycle parking spots in Paris? Supporting data-driven decision making with open data
Repo for the Bikestream project (aka Databike Pilot Project)
A curated list of datasets with trajectories of different kinds
Code, logs, and final models for SIGSPATIAL SpatialEpi '22: Spatiotemporal Disease Case Prediction using Contrastive Predictive Coding.
Python Client for Chicago Transit Authority
Generating (divergent) bar plots of attitudes towards transport policy in Switzerland from the Mobility and Transport Microcensus (MTMC)
Pipeline to load mobility data from S3 to Redshift, calculate trips and to derive metrics.
A deep learning model based on reinforcement learning to construct pathlet dictionaries.
A data warehouse that integrates mobility data from Beijing and Hannover with context data (weather, economics etc.)
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