Mobile Information Collectors' Trajectory Data Warehouse Design

TL;DR

This paper proposes a specialized data warehouse design for storing and analyzing trajectory data from mobile information collectors to support decision-making in various professional fields.

Contribution

It introduces a novel conceptual model that treats trajectories as a first-class concept within a trajectory data warehouse design.

Findings

Trajectory data can be effectively stored and analyzed for decision support.

The model facilitates decision-making in commerce, healthcare, and ecology.

Trajectory characteristics are central to data analysis.

Abstract

To analyze complex phenomena which involve moving objects, Trajectory Data Warehouse (TDW) seems to be an answer for many recent decision problems related to various professions (physicians, commercial representatives, transporters, ecologists ...) concerned with mobility. This work aims to make trajectories as a first class concept in the trajectory data conceptual model and to design a TDW, in which data resulting from mobile information collectors' trajectory are gathered. These data will be analyzed, according to trajectory characteristics, for decision making purposes, such as new products commercialization, new commerce implementation, etc.