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D1.1 Big Data Analytics for Time Critical Mobility Forecasting

Authors: Christos Doulkeridis, Akrivi Vlachou, Giorgos Santipantakis, Apostolos Glenis, George Vouros
Title: D1.1 Big Data Analytics for Time Critical Mobility Forecasting
Abstract:

This report comprises the first deliverable (D1.1) of datAcron work package 1 System architecture and data management with main objective to capture the requirements for the datAcron integrated system. The requirements analysis is guided by the information captured in the deliverables that describe the use-case scenarios for the maritime (D5.1) and aviation (D6.1) domains, but also takes into account the Description of Action. A major contribution of this deliverable is to bridge the gap between use-case scenarios and system design, by specifying functional requirements of the distinct datAcron components, paying special attention to their requirements from the data management components. Also, D1.1 aims at defining core integration and interaction hotspots among all components, figuring out specic patterns of interactions that are of crucial importance to the functionality of the overall system and which need to be considered in a meticulous way when designing the datActon integrated system. The first part of this document provides background information regarding the specic objectives and research challenges of the project, a brief overview of the use-cases, a classification of the data sources according to their domain and modality, and an overview of the overall datAcron architecture. Then, in the second part, the functional and architectural requirements are presented for each datAcron component, and their interactions are specied in terms of inputs/outputs. Moreover, requirements are linked to the research objectives of datAcron and individual use-case scenarios, and suitable performance metrics are specified in order to assist the validation process.

Year: 2016
Url:
DOI:
Pdf : http://datacron1.ds.unipi.gr:9082/wp-content/uploads/2018/09/D1.1.pdf