#transportation-systems News & Analysis

2 articles tagged with #transportation-systems. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · 10h ago7/10

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An Efficient and Effective Architecture for Large-Scale Traffic Prediction via Geometry-Adaptive Square Partitioning

Researchers introduce SqLinear, a neural network architecture that improves traffic prediction scalability by replacing attention mechanisms with efficient linear interactions and using a geometry-adaptive partitioning algorithm. The approach achieves 2.3-5.8% accuracy improvements while reducing training time by up to 30.8% on large-scale traffic datasets.

AINeutralarXiv – CS AI · 10h ago5/10

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Structure-Aware Graph Multi-Task Learning for Dynamic Sparse OD Demand Prediction

Researchers introduce SAGMTL, a graph-based machine learning framework that improves Origin-Destination demand prediction for transportation systems by jointly modeling regional activity states and flow intensity. The approach addresses real-world challenges of sparse, irregular traffic patterns that existing single-task regression methods struggle to handle, demonstrating superior performance across three major Chinese cities.