Latest Articles for Urban Planning

Learn how SAR technology helps track changes in land cover and use effectively.

A study on efficiently spacing points in two-dimensional space.

A new framework for assessing cycling stress using street-view images.

A platform that adapts software services in real-time for smart mobility solutions.

Self-driving unicycles are reshaping how we navigate busy city streets.

Learn about Valeriepieris circles and their role in population analysis.

This research analyzes how travel patterns shape urban dynamics and economics.

A new approach to traffic prediction that incorporates human activity data.

Research reveals congestion dynamics using Seoul's traffic data.

A new method improves detection of environmental changes using remote sensing images.

A study on how non-local models enhance traffic management at junctions.

A look into strong domination concepts in fuzzy graphs and their applications.

An overview of graph domination concepts and their applications.

New techniques improve vanishing point estimation in images with unknown camera settings.

Understanding species ranks reveals connections vital for ecosystems and conservation.

New methods enhance understanding of Max-Plus Linear systems in various applications.

New methods improve solutions for complex routing problems in logistics and planning.

Examining the complexities of drawing multiple graphs without overlaps.

This study evaluates pedestrian movement prediction models in crowded environments.

A new method improves evacuation routes during earthquakes using quantum computing and machine learning.

Introducing SimMST, a simpler framework for spatial-temporal data analysis.

Creating safer pathways for walkers and cyclists by reducing air pollution.

Explore the concept of mutual visibility and its practical applications in various fields.

A method for segmenting LiDAR data without manual labels using temporal analysis.

New methods aim to improve flood forecasting and community safety.

This article examines how travelers can navigate delays in public transport systems.

A look into how ground processes affect climate and agriculture.

A new approach addresses evacuation challenges during natural disasters using dynamic flow networks.

Analyzing demographic changes in Japan with satellite images and deep learning.

A look at how fractals help understand urbanization and city planning.

A new method uses reinforcement learning to optimize traffic light management.

A new approach to safely manage multiple drones in shared airspace.

New methods enhance predictions of traffic congestion and speed.

New unsupervised method improves change detection in landscapes using LiDAR data.

This study explores how to better analyze evolving data through hypergraphs.

A new method enhances vehicle localization by addressing GNSS signal challenges.

This study enhances robot navigation by mapping dynamic motion patterns.

A new method improves prediction of human trajectories in crowded spaces.

Positioning guards effectively for emergency response in city layouts.

SyntheWorld provides high-quality synthetic data for remote sensing challenges.