Latest Articles for Urban Planning

This article explores challenges and solutions in finding optimal observation paths.

Exploring the significance and applications of mobility data in society today.

Examining settlement arrangements in cities reveals hyperuniformity's role in urban planning.

A study of Chicago's taxi rides reveals neighborhood connectivity and travel trends.

A new method enhances roughness estimation in SAR images for better analysis.

Study on nonlocal conservation laws improves simulations of traffic and crowd behavior.

Examining how cars and motorcycles interact in traffic flow.

Innovative methods help local health planning use census data more effectively.

This study examines urbanization challenges and predictive models for transportation in India.

Examining how UAV position changes affect communication quality and reliability.

STEF-DHNet improves ride demand forecasts for better service and efficiency.

AutoGraph uses traffic data for lane estimation, reducing reliance on manual input.

Introducing PANet, a new approach for improved LiDAR segmentation.

Exploring SAM's role in improving remote sensing image segmentation.

This article examines new methods for improving periodic timetabling through split cuts.

ResUNetFormer enhances road extraction from aerial images addressing key challenges.

Introducing DSTCGCN for improved traffic forecasting accuracy.

A new approach enhances traffic flow forecasting using advanced graph techniques.

A new method uses community data to estimate building heights for 3D city models.

Transportation issues significantly hinder access to healthcare services, impacting overall health outcomes.

AGC-net improves traffic predictions through context and adaptability.

A look into codes in graphs and their roles in various fields.

Researchers use mobile data and advanced models to analyze human movement patterns over time.

This study optimizes the location of preferable and undesirable facilities.

This study focuses on classifying and segmenting 3D buildings effectively.

Adaptive stop pooling can enhance ride sharing efficiency and user experience.

Discover the innovative Bag-of-Views method for efficient drone data collection.

A model for connected automated vehicles to improve traffic safety and efficiency.

Learn how trajectory prediction ensures safe driving for autonomous vehicles.

Regular inspection plans can prevent costly sewer pipe failures and health risks.

New machine learning methods enhance traffic model accuracy and efficiency.

Innovative infrastructure improves safety at busy urban junctions.

IMPTC dataset captures vital data for safe automated vehicle navigation.

Addressing cybersecurity challenges in connected transportation technology.

cjdb offers a straightforward way to store 3D city models in PostgreSQL.

Examining methods for identifying changes in document images across various fields.

Learn how evaluative expressions clarify decision-making processes.

Analyzing the greedy algorithm for effective car parking management in garages.

This study examines how 5G enhances indoor positioning accuracy using multipath signals.

Climate change is altering demand for water and electricity in urban areas.