CityWeave

CityWeave: Weaving User Needs and World Constraints for Personalized and Reliable Mobility Planning

Ao Wang, Zhiwen Chen, Shen Wang, Qiang Xia, Yi Zhou, Jian Li

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026

2025 - 2026

A VLM-based framework for door-to-door urban mobility planning that combines user needs, temporal reasoning, map grounding, and routing constraints.

A personalized urban mobility planning framework that grounds VLM reasoning in user profiles, temporal constraints, map context, and routing tools.

CityWeave is available on ACM Digital Library and selected as an oral paper at KDD 2026.

KDD 2026 · CCF-A · Oral · Mobility Planning