Bike Sharing System

Bike-sharing systems are a crucial component of urban mobility, aiming to improve transportation efficiency and sustainability. Current research heavily focuses on optimizing system operations through advanced predictive modeling, employing techniques like graph neural networks (GNNs) and reinforcement learning (RL) to forecast demand, optimize bike redistribution (rebalancing), and predict maintenance needs. These models leverage diverse data sources, including trip history, weather, and geographic information, to improve accuracy and inform decision-making regarding resource allocation and system expansion. The resulting improvements in efficiency and user experience have significant implications for urban planning and the development of more sustainable transportation networks.

Papers

August 18, 2024

Predicting travel demand of a bike sharing system using graph convolutional neural networks
Ali Behroozi, Ali Edrisi
Convolutional Neural Network Graph Drawing Public Transit Travel Demand Bike Sharing System

June 2, 2024

Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems
Jiaqi Liang, Defeng Liu, Sanjay Dominik Jena, Andrea Lodi, Thibaut Vidal
Bike Sharing System Dynamic Rebalancing Vehicle Rebalancing Dual Reinforcement Learning

April 26, 2024

Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system
Jordi Grau-Escolano, Aleix Bassolas, Julian Vicens
Predictive Maintenance Bike Sharing System

March 28, 2024

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
Mark Roantree, Niamh Murphi, Dinh Viet Cuong, Vuong Minh Ngo
Spatial Temporal Graph Spatiotemporal Dynamical System Bike Sharing System Spatiotemporal Dynamic Bike Sharing Demand Efficient Optimisation Expandable Network

February 6, 2024

Using metaheuristics for the location of bicycle stations
Christian Cintrano, Francisco Chicano, Enrique Alba
Optimization Purpose Genetic Algorithm Particle Swarm Optimization Metaheuristic Algorithm Location Information Median Problem Bike Sharing System Neighborhood Search

February 5, 2024

A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System
Jiaqi Liang, Sanjay Dominik Jena, Defeng Liu, Andrea Lodi
Reinforcement Learning Bike Sharing System Dynamic Rebalancing Vehicle Rebalancing

January 24, 2024

Bike3S: A Tool for Bike Sharing Systems Simulation
Alberto Fernández, Holger Billhardt, Sascha Ossowski, Óscar Sánchez
BRIO Tool Interactive Simulation Agent Based Simulation Bike Sharing System

January 22, 2024

Smart Recommendations for Renting Bikes in Bike Sharing Systems
Holger Billhardt, Alberto Fernández, Sascha Ossowski
Personalized Recommendation Mobility Management Public Transit Bike Sharing System Bicycle Model

November 10, 2023

An Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City
Majbah Uddin, Ho-Ling Hwang, Md Sami Hasnine
Covid 19 Pandemic Machine Learning Framework Bike Sharing System Pre Pandemic Bike Sharing Demand

August 30, 2023

Spatial Graph Coarsening: Weather and Weekday Prediction with London's Bike-Sharing Service using GNN
Yuta Sato, Pak Hei Lam, Shruti Gupta, Fareesah Hussain
Graph Neural Network Graph Classification Graph Feature Graph Neural Network Model Graph Coarsening Bike Sharing System

March 20, 2023

Deep trip generation with graph neural networks for bike sharing system expansion
Yuebing Liang, Fangyi Ding, Guan Huang, Zhan Zhao
Neural Network Graph Drawing Travel Demand Travel Time Bike Sharing System Optimal Service Station Design

December 18, 2022

Predicting Citi Bike Demand Evolution Using Dynamic Graphs
Alexander Saff, Mayur Bhandary, Siddharth Srivastava
Dynamic Graph Neural Network Model Bike Sharing System Time Varying Demand Bike Sharing Demand

November 16, 2022

Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks
Yuebing Liang, Guan Huang, Zhan Zhao
Demand Prediction Relational Graph Bike Sharing System Knowledge Adaptation Bike Sharing Demand

March 18, 2022

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach
Yuebing Liang, Guan Huang, Zhan Zhao
Demand Forecasting Knowledge Sharing Motor Augmented Mode Bike Sharing System Graph Based Deep Learning Ride Hailing Data Bike Sharing Demand

March 17, 2022

Transfer learning for cross-modal demand prediction of bike-share and public transit
Mingzhuang Hua, Francisco Camara Pereira, Yu Jiang, Xuewu Chen
Time Series Forecasting Formality Transfer Public Transit Demand Prediction Travel Demand Travel Mode Bike Sharing System Urban Transportation

February 24, 2022

Can autonomy make bicycle-sharing systems more sustainable? Environmental impact analysis of an emerging mobility technology
Naroa Coretti Sanchez, Luis Alonso Pastor, Kent Larson
Bike Sharing System Environmental Impact Shared Autonomous Vehicle

February 9, 2022

Improving short-term bike sharing demand forecast through an irregular convolutional neural network
Xinyu Li, Yang Xu, Xiaohu Zhang, Wenzhong Shi, Yang Yue, Qingquan Li
Convolutional Neural Network Temporal Dependency Travel Demand Bike Sharing System Bike Sharing Demand

January 3, 2022

A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems
Bárbara Tavares, Cláudia Soares, Manuel Marques
Bike Sharing System Vehicle Rebalancing

Bike Sharing System

Papers

Predicting travel demand of a bike sharing system using graph convolutional neural networks

Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems

Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System

Using metaheuristics for the location of bicycle stations

A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System

Bike3S: A Tool for Bike Sharing Systems Simulation

Smart Recommendations for Renting Bikes in Bike Sharing Systems

An Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City

Spatial Graph Coarsening: Weather and Weekday Prediction with London's Bike-Sharing Service using GNN

Deep trip generation with graph neural networks for bike sharing system expansion

Predicting Citi Bike Demand Evolution Using Dynamic Graphs

Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach

Transfer learning for cross-modal demand prediction of bike-share and public transit

Can autonomy make bicycle-sharing systems more sustainable? Environmental impact analysis of an emerging mobility technology

Improving short-term bike sharing demand forecast through an irregular convolutional neural network

A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems