Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability. Maintained by MobilityData

Data models related to the Smart Cities Domain. Includes data models for Buildings, Parking, Urban Mobility & etc.

NetAScore - Network Assessment Score Toolbox for Sustainable Mobility

Source code for superblockify

LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.

This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.

Platform where you can get help to learn how to ride a bike and improve your cycling, route recommendations, commute together in traffic, tips and much more.

The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.

This repository follows the paper "Identifying urban features for vulnerable road user safety in Europe".

Projeto de impacto de mobilidade urbana, focado em diminuir a distancia entre o seu próximo trabalho e a sua nova residência.

Application of reinforcement learning to the management of traffic light intersection

🚌 A project for improve the urban mobility in bus

Interactive Voronoi diagram of the metro and bike-sharing networks of Rio de Janeiro

An open-source platform to unify global public transportation data and services.

Urban data integration framework for mobility analysis

Projekt zrealizowałem w trakcie studiów w ramach publikacji "Communication management to improve the efficiency of intelligent transport systems" (https://www.mdpi.com/1996-1073/13/12/3087). Celem projektu było stworzenie oprogramowania do pomiaru czasów reakcji kierowców na podstawie nagrania ze skrzyżowania w Warszawie.

Geo-Spatial analysis of parking dynamics within specified areas with raw GPS data

Repository to data used in the LABIKS Annual Report, called "Bike Sharing Systemas in Latin America".

Ph.D. Qualification project - Uniwersytet Jagielloński

Revealing urban area from mobile positioning data