Latest Articles for Urban Planning

A new method enhances building footprint extraction in crowded environments.

A new approach to accurately estimate crowd flow at urban Points of Interest.

Researching methods to recover emission sources and improve pollution monitoring.

Leveraging self-supervised methods to improve LiDAR semantic segmentation.

DeNISE enhances building outlines in aerial images for better mapping and planning.

A new approach enhances road mapping accuracy using satellite imagery.

Innovative methods improve the safety and accuracy of autonomous vehicle navigation.

This study enhances the coordination of CAVs in fluctuating traffic conditions.

SSIG provides a simpler method to compare floor plan similarities effectively.

A method to improve prediction accuracy using importance sampling and spatial cross-validation.

Exploring how random colors affect cluster formation and system behavior.

A model combines graph neural networks and zero-inflation strategies for better traffic predictions.

Advanced methods aid in controlling unwanted sound effectively.

Autonomous vehicles can transform traffic data collection and management in urban areas.

A new approach to model traffic flow using non-local data.

New method improves predictions of human movement for robots and smart vehicles.

New cellular designs enhance connectivity for drones and ground users.

This article discusses the use of machine learning in traffic management.

A new approach to improving traffic speed predictions during extreme events.

RingMo-lite improves remote sensing image analysis with efficiency and accuracy.

New neural network method improves roughness estimation in SAR images.

Exploring improvements in Reinforcement Learning for better autonomous driving.

Examining the link between land use and walking in communities.

A new method to generate urban flow data in cities without historical information.

Explore how communication systems ensure aerial vehicle safety and efficiency.

Examining control methods to improve traffic flow with autonomous and human-driven vehicles.

This study compares different machine learning models for accurate building detection.

Analyzing bus services to better meet community needs in Harrisonburg.

This article discusses how multiplex networks optimize communication in complex systems.

A co-design approach enhances efficiency in water distribution systems amid rising energy costs.

Researchers develop a model to study spatial relationships and impacts over distance.

LLM-Mob framework enhances accuracy in predicting human mobility patterns.

A study introduces an improved method to enhance pedestrian prediction for automated vehicles.

New framework SurrealDriver improves driver agent simulation for urban environments.

A game to involve communities in urban planning decisions.

This study examines combining satellite data for better land classification accuracy.

This dataset aids robots in better understanding urban environments.

HEROES provides realistic training for responders and robots in urban emergencies.

New methods improve accuracy in traffic flow management and planning.

New model MemDA adapts to changes in urban data for accurate predictions.