The new applications on detecting transportation modes and advanced trip recommendations make it crucial to investigate moving objects with different transportation modes. The aim of the book is to (1) define a datamodel that represents moving objects with different transportation modes in a database system; (2) provide efficient query processing mechanisms enabling to support novel queries; (3) evaluate the performance of such a database system called GMOD (Generic Moving Objects Database) that manages complete trips for humans. Towards this goal, at first we propose a generic method that is able to represent the location of a moving object in all environments. Since each environment consists of a set of geographic objects, a group of data types is designed to represent them. A data type for generic moving objects is defined where the location is represented by referencing to geographic objects. Afterwards, a set of operators is proposed to efficiently access the data. Definitions of both syntax and semantics are given. The proposed operators are also used to formulate queries. The data model is implemented in a database system.