Abstract: Deep-learning-based data-driven forecasting methods have achieved impressive results for traffic forecasting. Specifically, spatiotemporal graph neural networks have emerged as a promising ...

An interactive route planning project that models a city road network as a graph and finds optimized routes using core Data Structures and Algorithms concepts. The project supports shortest, fastest, ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

A Florida deputy dismissed the citation months later due to "lack of evidence" Getty Florida influencer Katie went viral after receiving a distracted driving citation for using her right hand to hold ...

Abstract: Traffic flow prediction faces challenges in spatial relationship modeling and risk-aware external factor integration. Current graph-based methods typically rely on single adjacency matrices ...