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Synchronous Prediction then Instantaneous Optimization for Dynamic Large-Scale Bike-Sharing Repositioning Problem
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inferredcites →https://doi.org/10.1007/978-3-031-05981-0_27openalex-extracted
User Incentive Based Bike-Sharing Dispatching Strategy
inferredcites →https://doi.org/10.1007/978-3-319-99492-5_13openalex-extracted
From Reinforcement Learning to Deep Reinforcement Learning: An Overview
inferredcites →https://doi.org/10.1007/978-3-642-37198-1_11openalex-extracted
Balancing Bicycle Sharing Systems: A Variable Neighborhood Search Approach
inferredcites →https://doi.org/10.1007/s10479-022-04965-0openalex-extracted
A novel predict-then-optimize method for sustainable bike-sharing management: a data-driven study in China
inferredcites →https://doi.org/10.1007/s11116-015-9669-zopenalex-extracted
Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto
inferredcites →https://doi.org/10.1007/s11750-007-0009-0openalex-extracted
Static pickup and delivery problems: a classification scheme and survey
inferredcites →https://doi.org/10.1007/s13676-012-0017-6openalex-extracted
Static repositioning in a bike-sharing system: models and solution approaches
inferredcites →https://doi.org/10.1016/j.cie.2020.106277openalex-extracted
Balancing public bicycle sharing system using inventory critical levels in queuing network
inferredcites →https://doi.org/10.1016/j.disopt.2012.11.005openalex-extracted
Bike sharing systems: Solving the static rebalancing problem
inferredcites →https://doi.org/10.1016/j.ejor.2016.08.029openalex-extracted
Inventory rebalancing and vehicle routing in bike sharing systems
inferredcites →https://doi.org/10.1016/j.ins.2021.01.065openalex-extracted
TAGCN: Station-level demand prediction for bike-sharing system via a temporal attention graph convolution network
inferredcites →https://doi.org/10.1016/j.omega.2013.12.001openalex-extracted
The bike sharing rebalancing problem: Mathematical formulations and benchmark instances
inferredcites →https://doi.org/10.1016/j.pmcj.2010.07.002openalex-extracted
Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system
inferredcites →https://doi.org/10.1016/j.procs.2019.01.217openalex-extracted
Predicting bike sharing demand using recurrent neural networks
inferredcites →https://doi.org/10.1016/j.rtbm.2015.03.003openalex-extracted
Bike sharing: A review of evidence on impacts and processes of implementation and operation
inferredcites →https://doi.org/10.1016/j.sbspro.2013.10.604openalex-extracted
A Dynamic Simulation based Model for Optimal Fleet Repositioning in Bike-sharing Systems
inferredcites →https://doi.org/10.1016/j.trb.2014.10.003openalex-extracted
A 3-step math heuristic for the static repositioning problem in bike-sharing systems
inferredcites →https://doi.org/10.1016/j.trb.2015.05.003openalex-extracted
Estimating bike-share trips using station level data
inferredcites →https://doi.org/10.1016/j.trb.2016.12.006openalex-extracted
A time-space network flow approach to dynamic repositioning in bicycle sharing systems
inferredcites →https://doi.org/10.1016/j.trb.2018.10.015openalex-extracted
The Bike sharing Rebalancing Problem with Stochastic Demands
inferredcites →https://doi.org/10.1016/j.trb.2020.03.007openalex-extracted
Optimal investment and management of shared bikes in a competitive market
inferredcites →https://doi.org/10.1016/j.trb.2022.04.003openalex-extracted
A two-echelon fuzzy clustering based heuristic for large-scale bike sharing repositioning problem
inferredcites →https://doi.org/10.1016/j.trb.2023.04.010openalex-extracted
Column-and-constraint-generation-based approach to a robust reverse logistic network design for bike sharing
inferredcites →https://doi.org/10.1016/j.trc.2018.01.001openalex-extracted
A modeling framework for the dynamic management of free-floating bike-sharing systems
inferredcites →https://doi.org/10.1016/j.trc.2018.10.011openalex-extracted
Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach
inferredcites →https://doi.org/10.1016/j.trc.2020.102648openalex-extracted
A review of bicycle-sharing service planning problems
inferredcites →https://doi.org/10.1016/j.trc.2022.103571openalex-extracted
Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management
inferredcites →https://doi.org/10.1016/j.trc.2022.103984openalex-extracted
Improving short-term bike sharing demand forecast through an irregular convolutional neural network
inferredcites →https://doi.org/10.1016/j.trc.2023.104015openalex-extracted
Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processes
inferredcites →https://doi.org/10.1016/j.trc.2023.104079openalex-extracted
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards
inferredcites →https://doi.org/10.1016/j.trc.2023.104220openalex-extracted
A Smart Predict-then-Optimize method for dynamic green bike relocation in the free-floating system
inferredcites →https://doi.org/10.1016/j.trc.2023.104241openalex-extracted
Deep trip generation with graph neural networks for bike sharing system expansion
inferredcites →https://doi.org/10.1016/j.trd.2016.10.021openalex-extracted
A sinusoidal model for seasonal bicycle demand estimation
inferredcites →https://doi.org/10.1016/j.tre.2023.103361openalex-extracted
Spatiotemporal analysis of bike-share demand using DTW-based clustering and predictive analytics
inferredcites →https://doi.org/10.1016/j.trpro.2017.03.016openalex-extracted
A Relocation Strategy for Munich's Bike Sharing System: Combining an operator-based and a user-based Scheme
inferredcites →https://doi.org/10.1016/j.trpro.2018.10.086openalex-extracted
A simulation model for public bike-sharing systems
inferredcites →https://doi.org/10.1038/529445aopenalex-extracted
Google AI algorithm masters ancient game of Go
inferredcites →https://doi.org/10.1080/01441647.2013.775612openalex-extracted
Bike Share: A Synthesis of the Literature
inferredcites →https://doi.org/10.1080/15568318.2022.2113577openalex-extracted
Bike share and user motivation: exploring trip substitution choices among bike share users in a North American city
inferredcites →https://doi.org/10.1109/civts.2014.7009473openalex-extracted
Predicting bikeshare system usage up to one day ahead
inferredcites →https://doi.org/10.1109/tits.2018.2868483openalex-extracted
A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System
inferredcites →https://doi.org/10.1109/tits.2021.3105232openalex-extracted
Deep Reinforcement Learning for the Electric Vehicle Routing Problem With Time Windows
inferredcites →https://doi.org/10.1109/tpami.2021.3054830openalex-extracted
Graph Neural Networks with Convolutional ARMA Filters
inferredcites →https://doi.org/10.1145/2971648.2971652openalex-extracted
Dynamic cluster-based over-demand prediction in bike sharing systems
inferredcites →https://doi.org/10.1145/321043.321046openalex-extracted
Integer Programming Formulation of Traveling Salesman Problems
inferredcites →https://doi.org/10.1145/3219819.3220007openalex-extracted
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
inferredcites →https://doi.org/10.1145/3274895.3274896openalex-extracted
Bike flow prediction with multi-graph convolutional networks
inferredcites →https://doi.org/10.1155/2018/8028714openalex-extracted
A Markov Chain Based Demand Prediction Model for Stations in Bike Sharing Systems
inferredcites →https://doi.org/10.1609/aaai.v29i1.9251openalex-extracted
Incentivizing Users for Balancing Bike Sharing Systems
inferredcites →https://doi.org/10.2139/ssrn.4032616openalex-extracted
Improving Short-Term Bike Sharing Demand Forecast Through an Irregular Convolutional Neural Network
inferredcites →https://doi.org/10.3390/s18020512openalex-extracted
A Dynamic Approach to Rebalancing Bike-Sharing Systems
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-extracted
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1710.10370openalex-extracted
Topology Adaptive Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1810.00826openalex-extracted
How Powerful are Graph Neural Networks?
inferredcites →https://doi.org/10.48550/arxiv.2106.06232openalex-extracted
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
inferredcites →https://doi.org/10.5038/2375-0901.12.4.3openalex-extracted
Bike-sharing: History, Impacts, Models of Provision, and Future
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.5281/zenodo.15206559openalex-snapshot
Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games
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