PTRAIL is a state-of-the art parallel computation library for Mobility Data Preprocessing and feature extraction.
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Updated
Nov 22, 2024 - 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
A curated list of datasets with trajectories of different kinds
Repo for the Bikestream project (aka Databike Pilot Project)
Code, logs, and final models for SIGSPATIAL SpatialEpi '22: Spatiotemporal Disease Case Prediction using Contrastive Predictive Coding.
Sistema que integra los datos de transporte urbano de Montevideo a través de una REST API, utilizando PostgreSQL + PostGIS para el manejo y análisis de datos espaciales.
Python Client for Chicago Transit Authority
EmergencyAct uses surveillance cameras to detect accidents and emergencies in real-time, providing essential insights and support.
Mobile Visitation Data Analysis for Optimized Black Friday & Cyber Monday Shopping
Generating (divergent) bar plots of attitudes towards transport policy in Switzerland from the Mobility and Transport Microcensus (MTMC)
A data warehouse that integrates mobility data from Beijing and Hannover with context data (weather, economics etc.)
Python package to download GTFS files through the Mobility Database API
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.
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