Latest Articles for Urban Planning

New models aim to enhance pedestrian intention predictions for safer AV interactions.

Explore the key scheduling issues for connected and autonomous vehicles.

Cities can now monitor cycling paths more effectively through crowdsensing technology.

Car-following models are key to analyzing vehicle behavior and improving traffic flow.

Examining biases in air quality monitoring and their implications for public health.

This article examines a new approach to predicting movements in autonomous vehicles.

A new model improves noise reduction in hyperspectral images for better analysis.

A new radar technique enhances city mapping accuracy with limited data.

Federated learning protects privacy while enhancing mobility applications.

KaRRi improves ridesharing by optimizing pick-up and drop-off scheduling.

A new framework tackles missing data in traffic systems using advanced techniques.

A new method improves detailed 3D building models for various applications.

This research highlights the need for joint metrics in forecasting group movements.

A new dataset to improve self-driving car perception and forecasting.

A new approach enhances flood predictions by accurately modeling water flow around structures.

A new method predicts taxi demand while ensuring data privacy.

A new method enhances obstacle navigation in autonomous vehicles.

New methods improve vehicle communication for safer driving experiences.

A guide to selecting effective billboard advertising slots to maximize customer influence.

This article examines a method to find empty spaces separating colored points on a plane.

This study explores how urban vibrancy varies by gender in city environments.

A study on how daily activities affect carbon emissions in cities.

Explore how Voronoi cells divide space and their applications in various fields.

A new method enhances land cover classification using semi-supervised learning techniques.

Combining traditional methods and machine learning to improve urban transit networks.

Improving cyclist models in SUMO using real-world data to simulate behavior accurately.

Researchers leverage drone images to create efficient maps for self-driving car simulations.

Examining how local plans include health considerations for better community outcomes.

This study examines how connectivity changes with open and closed edges in graphs.

Parks impact health and social equity across different communities.

TelecomTM utilizes fiber-optic cables for efficient traffic monitoring.

A platform to analyze and visualize crowd movements in urban areas.

Hamburg aims for carbon neutrality with new energy planning strategies.

Research links PM2.5 exposure from traffic to Alzheimer’s disease risk.

A new approach combines deep learning and graphs for better urban mapping.

Research on optimizing routes for electric aircraft to enhance UAM efficiency.

Examining how traffic flow models improve safety and planning.

TransWorldNG offers realistic traffic simulations using real-world data and innovative techniques.

A new system aids experts in managing urban planning and renaturation projects efficiently.

A new system uses satellite images to classify roofs, improving wind risk assessments.