Autonomous Traffic Sensor Web (ATSW)
A replay-based web prototype for adaptive GPS reporting, receiver-state estimation, and historical trajectory reconstruction.
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A replay-based web prototype for adaptive GPS reporting, receiver-state estimation, and historical trajectory reconstruction.
A research direction bridging large language models and graph learning to give road networks generalizable urban semantics.
Preserving useful mobility information under limited observation resources through the co-design of trajectory selection, reporting, and reconstruction.
LLM prompt-based pseudo-labels plus road-network structural embeddings align labels across transportation taxonomies, even with only 1% labeled data.
A heterogeneous graph framework (HetSemNet) that fuses LLM-derived POI semantics with road topology, generalizing across cities on road type classification.