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On the adoption of e-moped sharing systems
Recent years have witnessed the emerging of novel shared mobility solutions that provide
diffused on-demand access to transportation. The widespread adoption of these solutions …
diffused on-demand access to transportation. The widespread adoption of these solutions …
[PDF][PDF] Spatial-temporal Transformer Network with Self-supervised Learning for Traffic Flow Prediction.
Traffic flow prediction plays a critical role in improving the quality, security, and efficiency of
Intelligent Transportation Systems (ITS). Accurate prediction requires modeling spatial and …
Intelligent Transportation Systems (ITS). Accurate prediction requires modeling spatial and …
[HTML][HTML] Listening to the city, attentively: A spatio-temporal attention-boosted autoencoder for the short-term flow prediction problem
In recent years, studying and predicting mobility patterns in urban environments has become
increasingly important as accurate and timely information on current and future vehicle flows …
increasingly important as accurate and timely information on current and future vehicle flows …
STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
Enhancing the efficiency and safety of the Intelligent Transportation System requires
effective modeling and prediction of citywide traffic dynamics. Most studies employ …
effective modeling and prediction of citywide traffic dynamics. Most studies employ …
Benefits of relocation on e-scooter sharing-a data-informed approach
E-scooter sharing lets people rent an e-scooter while the system owner manages the fleet.
Relocation is fundamental to increase system utilization and revenues, but it is also an …
Relocation is fundamental to increase system utilization and revenues, but it is also an …
An improved convolutional network capturing spatial heterogeneity and correlation for crowd flow prediction
Crowd flow prediction plays an important role in urban management and public safety.
However, the existing prediction models still have some shortcomings in capturing spatial …
However, the existing prediction models still have some shortcomings in capturing spatial …
On-Street Parking Prediction: A Comparative Study
Urban computing techniques harnessing digital mobility traces can assume a pivotal role in
comprehending travel patterns and behavioral dynamics within an urban context. These …
comprehending travel patterns and behavioral dynamics within an urban context. These …
Listening to the City: Artificial Intelligence meets Smart Mobility
S Fiorini - 2023 - boa.unimib.it
Cities are constantly evolving due to the changes and interactions with their citizens. They
are complex systems made up of individuals, vehicles, and infrastructures that form the heart …
are complex systems made up of individuals, vehicles, and infrastructures that form the heart …
[معلومات الإصدار][C] A New Hybrid Method Combing k-means++ and l2, 0-regularized Group Sparse Optimization Model for Traffic Flow Prediction
X Li, Z Luo, XS Zhou, YH Dai