4 papers
Autonomous discovery of traffic laws with AI traffic scientists
Xingyuan Dai, Yue Liu, Xiaoyan Gong +9
Universal traffic laws describe recurrent patterns in congestion, mobility and driving behavior across cities, providing a scientific basis for transportation planning, management…
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
Yueyang Yao, Jiajun Li, Xingyuan Dai +4
Time series forecasting is important for applications spanning energy markets, climate analysis, and traffic management. However, existing methods struggle to effectively integrate…
SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization
Chenglong Ye, Gang Xiong, Junyou Shang +3
Traffic simulation tools, such as SUMO, are essential for urban mobility research. However, such tools remain challenging for users due to complex manual workflows involving networ…
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework
Mengmeng Zhang, Xingyuan Dai, Yicheng Sun +6
Although the Segment Anything Model (SAM) is highly effective in natural image segmentation, it requires dependencies on prompts, which limits its applicability to medical imaging…