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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 …
Large-scale order dispatch in on-demand ride-hailing platforms: A learning and planning approach
We present a novel order dispatch algorithm in large-scale on-demand ride-hailing
platforms. While traditional order dispatch approaches usually focus on immediate customer …
platforms. While traditional order dispatch approaches usually focus on immediate customer …
A deep reinforcement learning framework for rebalancing dockless bike sharing systems
Bike sharing provides an environment-friendly way for traveling and is booming all over the
world. Yet, due to the high similarity of user travel patterns, the bike imbalance problem …
world. Yet, due to the high similarity of user travel patterns, the bike imbalance problem …
Artificial intelligence for social good: A survey
Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …
advance artificial intelligence to address societal issues and improve the well-being of the …
Deep trip generation with graph neural networks for bike sharing system expansion
Bike sharing is emerging globally as an active, convenient, and sustainable mode of
transportation. To plan successful bike-sharing systems (BSSs), many cities start from a …
transportation. To plan successful bike-sharing systems (BSSs), many cities start from a …
[PDF][PDF] Representing urban functions through zone embedding with human mobility patterns
Urban functions refer to the purposes of land use in cities where each zone plays a distinct
role and cooperates with each other to serve people's various life needs. Understanding …
role and cooperates with each other to serve people's various life needs. Understanding …
Citywide bike usage prediction in a bike-sharing system
To operate a bike-sharing system efficiently, system operators need to accurately predict
how many bikes are to be rented and returned throughout the city. In this paper, we propose …
how many bikes are to be rented and returned throughout the city. In this paper, we propose …
Towards fine-grained flow forecasting: A graph attention approach for bike sharing systems
As a healthy, efficient and green alternative to motorized urban travel, bike sharing has been
increasingly popular, leading to wide deployment and use of bikes instead of cars. Accurate …
increasingly popular, leading to wide deployment and use of bikes instead of cars. Accurate …
Using a hybrid method for evaluating and improving the service quality of public bike-sharing systems
Cycling as a mode of transportation brings certain benefits to the user, such as improving
health and saving money. It can provide a significant improvement in the quality of city life …
health and saving money. It can provide a significant improvement in the quality of city life …
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Due to its various social and environmental benefits, bike sharing has been gaining
popularity worldwide and, in response, many cities have gradually expanded their bike …
popularity worldwide and, in response, many cities have gradually expanded their bike …