Bike sharing usage prediction with deep learning: a survey
W Jiang - Neural Computing and Applications, 2022 - Springer
As a representative of shared mobility, bike sharing has become a green and convenient
way to travel in cities in recent years. Bike usage prediction becomes more important for …
way to travel in cities in recent years. Bike usage prediction becomes more important for …
Improving short-term bike sharing demand forecast through an irregular convolutional neural network
As an important task for the management of bike sharing systems, accurate forecast of travel
demand could facilitate dispatch and relocation of bicycles to improve user satisfaction. In …
demand could facilitate dispatch and relocation of bicycles to improve user satisfaction. In …
Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processes
With the rise of sharing economy, bike-sharing systems (BSSs) have gained heated
attention, and their operations require accurate prediction of bike usage. Although many …
attention, and their operations require accurate prediction of bike usage. Although many …
Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems
Abstract Bike-Sharing Systems (BSSs) have exploded in popularity worldwide because of
their beneficial impacts on traffic, pollution levels, and public health, which has resulted in …
their beneficial impacts on traffic, pollution levels, and public health, which has resulted in …
Forecasting bike sharing demand using quantum Bayesian network
R Harikrishnakumar, S Nannapaneni - Expert Systems with Applications, 2023 - Elsevier
In recent years, bike-sharing systems (BSS) are being widely established in urban cities to
provide a sustainable mode of transport, by fulfilling the mobility requirements of public …
provide a sustainable mode of transport, by fulfilling the mobility requirements of public …
[HTML][HTML] A column generation heuristic for the dynamic bicycle rebalancing problem
MD Gleditsch, K Hagen, H Andersson… - European Journal of …, 2022 - Elsevier
Public bicycle sharing systems are becoming an essential part of the future urban mobility
system. Real-time monitoring of the system state through sensors on bicycles and/or stations …
system. Real-time monitoring of the system state through sensors on bicycles and/or stations …
Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul
Bike-sharing is a powerful solution to urban challenges (eg, expanding bike communities,
lowering transportation costs, alleviating traffic congestion, reducing emissions, and …
lowering transportation costs, alleviating traffic congestion, reducing emissions, and …
Bicycle sharing station planning: From free-floating to geo-fencing
Bicycle sharing systems (BSSs) are expanding with unparalleled speed all over the world
due to various advantages of cycling such as cost effectiveness, environmentally …
due to various advantages of cycling such as cost effectiveness, environmentally …
Modeling censored mobility demand through censored quantile regression neural networks
Shared mobility services require accurate demand models for effective service planning. On
the one hand, modeling the full probability distribution of demand is advantageous because …
the one hand, modeling the full probability distribution of demand is advantageous because …
Ebike Sharing vs. Bike Sharing: Demand Prediction Using Deep Neural Networks and Random Forests
M Schnieder - Sustainability, 2023 - mdpi.com
Background: Conventional bike sharing systems are frequently adding electric bicycles. A
major question now arises: Does the bike sharing system have a sufficient number of ebikes …
major question now arises: Does the bike sharing system have a sufficient number of ebikes …