FF-STGCN: A usage pattern similarity based dual-network for bike-sharing demand prediction
D Yang, R Wu, P Wang, Y Li - Plos one, 2024 - journals.plos.org
Accurate bike-sharing demand prediction is crucial for bike allocation rebalancing and
station planning. In bike-sharing systems, the bike borrowing and returning behavior exhibit …
station planning. In bike-sharing systems, the bike borrowing and returning behavior exhibit …
Scalability evaluation of forecasting methods applied to bicycle sharing systems
A Cortez-Ordoñez, PP Vázquez… - Heliyon, 2023 - cell.com
Abstract Public Bicycle Sharing Systems (BSS) have spread in many cities for the last
decade. The need of analysis tools to predict the behavior or estimate balancing needs has …
decade. The need of analysis tools to predict the behavior or estimate balancing needs has …
On Urban Data Analytics and Applications in the Big Data Era
D Tomaras - 2024 25th IEEE International Conference on …, 2024 - ieeexplore.ieee.org
The proliferation of smart technologies has provided significant advances in the way people
receive information and interact in smart cities. For instance, smart traffic monitoring systems …
receive information and interact in smart cities. For instance, smart traffic monitoring systems …
Mining Commuting Patterns of Urban Residents from Taxi Trajectory
C Liu, C Guo - Available at SSRN 4975618 - papers.ssrn.com
Understanding the city's spatial structure and residents' commuting behaviors from taxi
trajectories is vital for transportation engineering and urban planning. However, taxi …
trajectories is vital for transportation engineering and urban planning. However, taxi …