This paper presents the Succinct Moving Object Index (SMO - Index) that pursues efficiency in storage and time of query processing for timestamp and interval queries. The data structure stores data and index together in a compact manner reducing the need of using external memory. It is based on a K 2-tree to store snapshots of objects' location at some time instants, and on a compact representation of the movement of objects between consecutive snapshots. The experimental evaluation shows that the SMO-Index overcomes MVR-Tree in space used and time cost when objects constantly move at similar speed. © 2012 Authors.