There are 8 repositories under bike-sharing topic.
Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability. Maintained by MobilityData
A data standard to enable right-of-way regulation and two-way communication between mobility companies and local governments.
The world's first low-cost and open source bike sharing system. (new version in development, use working "breakthrough" release instead!)
Shared bikes availability in your city
This is the public repository of the MADBike app for iOS. Public bike rental service for BiciMAD.
Outil pour analyser vos déplacements à Vélib' en toute simplicité.
Interactive Flow-map of Aggregated Bike Movements between Bike Stations in Helsinki Region
In this project, I have build a neural network from scratch to carry out a prediction problem on a real dataset.
A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
A slim and low-network-use mobile web app for many common bike sharing systems.
🚴 A generic model and a distributed algorithm for optimising station-based bike-sharing systems
Python3 library for working with the Philadelphia Indego Bike Share API
Occupancy Trends and Availability Prediction for Barcelona's Bike-Sharing System
Students of UIU currently face significant transportation issues. Due to a shortage of rickshaw, shuttle, lack of attention to bus routes and schedules often leaves students with long distances to navigate on foot. To solve this problem, we intend to make a platform that will help students.
The code for "Short-term traffic flow prediction in bike sharing networks"
Bike Sharing Demand Prediction - Regression
BRP problem solved as the project of Operational Research course of ICT4SS at Politecnico di Torino.
Analyse de l'activité des stations Vcub dans la métropole de Bordeaux afin de détecter en amont les stations hors service
App for sharing Bikes within a Community, made with Xamarin.
🚲A JavaScript wrapper for the Mobike API
predict bike sharing demand using the AWS AutoGloun Framework
predict bike sharing demand using the AWS AutoGloun Framework
Exploratory analysis on the dataset which contains historical time series data of public bike sharing system in Warsaw.
Repo for project - Predicting bike sharing patterns using neural networks
Set of approaches aiming at the problem of predicting user behaviours in bike sharing systems. This project proposes a new heuristic solution - based on KNN algorithm with neural network as its distance function.
Comprehensive exploration of the Bike Sharing Problem using advanced Machine Learning for demand forecasting and Mathematical Linear Optimization for strategic bike allocation. Includes detailed Jupyter notebooks covering model development, analysis, and optimization solutions.