Latest Articles for Urban Planning

Innovative methods enhance understanding of surroundings for self-driving vehicles.

New methods enhance vehicle communication in cities, improving safety and efficiency.

This study highlights new methods for efficient UAV navigation using deep reinforcement learning.

New methods improve mapping in changing surroundings for machines.

New method improves crowd counting accuracy and model reliability.

Exploring how data helps us understand dynamic systems and their behaviors.

SurfaceAI uses street images to assess road surface quality for safer travel.

Addressing facility location challenges with known and unknown user preferences.

Cities must adapt transportation systems to handle increased flooding from climate change.

A method for clearer satellite images directly from unprocessed data.

Combining street view images with data to analyze building exteriors.

A look into clustered planarity and linear saturation in graph representation.

Study reveals insights on traffic safety through near-crash events in San Antonio.

A look at how groups of agents move without pressure.

Improving delivery efficiency and safety through advanced route planning for electric vehicles.

A new approach to predict socioeconomic indicators using LBSN data.

A deep dive into the world of electronic maps and their applications.

Exploring the dynamics of Cops and Robbers on graphs and its implications.

AI advances can streamline urban sustainability project evaluations.

Examining how local factors impact health in communities.

Extreme heat influences how people move and work in developing countries.

HeightMapNet improves mapping for self-driving cars by enhancing accuracy and detail.

A look at how connections in graphs can be structured and optimized.

Researchers analyze heat movement in buildings using graphs and innovative methods.

Explore Mean-Field Control Barrier Functions for safer swarm management.

Examining the impact of Sequential Monte Carlo on districting fairness and reliability.

Grid cells simplify spatial knowledge graphs for better data organization and decision-making.

GNNs are reshaping how we analyze and understand Earth data.

AI models aid city planners in understanding urban heat and improving livability.

Using satellite imagery to improve understanding of poverty through detailed land use mapping.

TrajGPT improves journey predictions using GPS data, enhancing urban planning and public health responses.

Explore the significance of Scott rank in separable metric structures.

A new approach improves building part identification for smarter urban planning.

A new technique improves low-resolution satellite images for better clarity and detail.

UniTraj offers adaptable solutions for understanding human movement patterns globally.

PIEViT improves remote sensing image analysis with innovative learning methods.

UDCNet simplifies identifying key objects in satellite images.

OffLight uses smart technology to improve traffic flow in busy cities.

New methods enhance message delivery during car accidents.

Explore how spanners simplify connections in complex graphs.