TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding
Urban mobility is naturally expressed both as trajectories in space and as natural-language descriptions of travel intent, constraints, and preferences. However, prior work rarely evaluates these two modalities together on the same real-world trajectories: trajectory modeling often stays geometry-centric, while language-centric mobility benchmarks frequently target route planning and tool use rather than fine-grained, verifiable alignment between text and the underlying route. We introduce TrajP
Record details
Published: 11 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (11 May 2026), “TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding,” evidence record 4546, https://ethics.ai/record/4546 (originally published by arXiv).
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