Latest Articles for Urban Planning

A new model enhances traffic prediction in urban areas using advanced techniques.

This article examines traffic congestion causes and potential management strategies.

A new method enhances 3D object detection systems for varied environments.

A method to maintain privacy while sharing urban traffic statistics.

New model ChangeViT enhances change detection in satellite and drone imagery.

UrbanLLM streamlines urban management by breaking down complex city-related queries.

Real-time mobile data helps detect unusual events in cities.

DuMapNet simplifies lane-level map generation, enhancing transportation applications.

MODA enhances decision-making processes in urban areas using advanced learning techniques.

This article explores key components and importance of transit line planning.

A new method in remote sensing improves change detection accuracy using masks.

A new method to schedule charging for battery-electric buses improves reliability and reduces costs.

New framework improves modeling of complex physical systems using discrete symmetry.

Exploring the integration of UAVs in THz mobile edge computing systems.

A novel model enhances accuracy in analyzing complex remote sensing images.

A method using satellite images and deep learning for urban change detection.

A-TEAM simplifies traffic management with data-driven tools and modular applications.

New algorithm improves clustering by combining features and spatial positions.

New methods reveal serious privacy threats from location data sharing.

Exploring improvements in predicting point patterns using Point Process Learning.

Enhancing vehicle communication with advanced technology for safer roads.

Analyzing user behavior to improve urban public transport systems.

Analyzing how noise influences the efficiency of transport systems.

A look into how regions are covered by expanding points over time.

Exploring how individuals and dyads navigate public spaces to avoid collisions.

Innovative approaches to reduce traffic jams by aiding drivers with real-time advice.

This study examines the route planning strategies of London taxi drivers in urban environments.

A new approach using knowledge enhances efficiency in learning from relational graphs.

This paper presents a method for efficient image generation using neural layouts.

Introducing ENSY to enhance minority travel mode predictions.

New approach enhances point cloud mapping by removing dynamic objects.

A new method improves road extraction accuracy using graph neural networks.

Examining how drones can improve communication networks in limited energy environments.

Learn how urban planning can support biodiversity through innovative projects.

A method to enhance roadside sensors' location accuracy in urban areas.

A new approach to measure air pollution variables and their impact.

A novel method enhances 3D urban scene reconstruction from varied viewpoints.

A method to improve taxi routing by considering both drivers and passengers.

Cities gain crucial transport data while addressing privacy concerns.

Study reveals impact of environment on navigation strategies in artificial agents and humans.