togetThere: leveraging Big Data and mobile information for smarter tourism

 

Industrial Track

The idea

This project aims at distributed tourism management by acting on individual travel plans to achieve a city-wide crowd level balance using Big Data analytics and optimization.  This is achieved by means of as system (comprising of a mobile app-front end and a cloud-based backend) to better distribute tourists across the city.  Expected benefits will include increased visibility for local business activities with less overcrowded areas.

 Moreover, tourists will experience faster visiting times and cities will benefit from a better management of crowds.

 
 
 

The Team

IBM Research

Andrea Sassi. PhD student at the Doctorate School of Industrial Innovation Engineering at the University of Modena and Reggio Emilia, in the Pervasive Computing Research group. Research Interests: Distributed systems, multi-agent systems and simulations, self-adaptive systems, crowd dynamics, ICT frameworks and infrastructures for Smart Cities.

Adi Botea, PhD. Research Staff Member at IBM Research, Dublin Ireland. Research expertize in Artificial Intelligence (AI), including journey and route planning, and heuristic search. Over 60 peer-reviewed scientific publications. Best paper award, ICAPS 2009. Editorial Board member, Journal of AI Research. Conference co-chair, Symposium on Combinatorial Search SoCS 2016.

Stefano Braghin, PhD. Research Software Engineer at IBM Research, Dublin Ireland in the Smart Urban Dynamics group. Research interests include security and privacy aspects of distributed (open) system, system architecture for data management, with a specific focus on Big Data, and techniques for the integration techniques of eterogenous data sources.

Francesco Calabrese is an Advisory Research Staff Member at the IBM Research - Ireland center in Dublin, Ireland.
Francesco manages the Smarter Urban Dynamics group, focusing on developing analytics and tools to better understand and optimize the urban dynamics.
He received the Laurea (BS and MS) degree in Computer Engineering, cum laude, in 2004, and the Ph.D. in Computer and System Engineering from the University of Naples Federico II, Italy, in 2007.He was research scientist and postdoctoral associate at the Massachusetts Institute of Technology from 2007 to 2010, where he leaded research in urban networks & society..

Michele Berlingerio, PhD. Is Research Staff Member at IBM Research, Dublin, Ireland. His background is in Data Mining, with a focus on Graph Data Mining. Applications of his work include Social Network Analysis, Transport Network analysis and optimisation, Urban Dynamics, Public Safety, Financial network analysis. His co-author of more than 40 refereed scientific publications, and co-inventor of 7 patent applications. 

 

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