Answers are grounded in this paper and cite their sources.
This standard introduces a position-sensitive encoding for transport demand in diverse infrastructures, suggesting a solution to identity exposure issues.
We present UODI (Universal Omnimodal Demand Identifier), a position-sensitive alphanumeric encoding standard for machine-to-machine transport demand discovery across heterogeneous infrastructure types. UODI encodes demand parameters — transport mode, infrastructure type, cargo handling, service class, dispatch urgency, autonomy level, energy requirement, owner identity, quantity, origin coordinates, destination coordinates, scheduling date, and wait tolerance — into a fixed 15-block string of defined field widths totaling 87 canonical characters, terminated by a 4-character CRC-16-CCITT integrity checksum. A three-dimensional geospatial encoding framework enables progressive location disclosure from full incognito to sub-centimeter precision within a fixed-width field. Industry-specific extensions append via a double-colon delimiter without affecting the integrity checksum. The protocol enables anonymous demand broadcast followed by cryptographic identity disclosure upon bilateral agreement, solving the premature identity exposure problem in transport matching systems. UODI is transport-protocol-agnostic and infrastructure-agnostic: the same encoding covers road, air, maritime, rail, subterranean, and orbital transport demand without schema negotiation.
No takes yet. Share an insight, caveat, or question.
Daniel Eduardo Placanica (2026) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: