CLIPPER: Replayable Shortlisted Optimization for Repeated Spatial Coverage Planning

Abstract

Operational requirements developed with the City of Braunschweig frame municipal micromobility planning under geofenced exclusions, mandatory retained sites, spacing rules, and area-level caps. CLIPPER forms bounded candidate pools while recomputing exact current gains and checking every active constraint before selection. Across Braunschweig, Munich, and Berlin, it enables rapid, replayable comparison of recorded city-scale planning states while enforcing every encoded model constraint.