Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems

• Type: Another Publication in an International Scientific Journal
• Date: 2018

Authors

Moreira Matias, L (Author) Other; João Gama (Author) FEP; Monreal, CO (Author) Other; Nair, R (Author) Other; Trasarti, R (Author) Other

Journal

Title: IEEE Transactions on Intelligent Transportation Systems

Vol. 19 No. 11

Pages: 3626-3629

ISSN: 1524-9050

Publisher: IEEE

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00P-WRN

DOI: 10.1109/tits.2018.2877063

Abstract (EN): The recent technological advances on telecommunications create a new reality on mobility sensing. Nowadays, we live in an era where ubiquitous digital devices are able to broadcast rich information about human mobility in real-Time and at a high rate. Such fact exponentially increased the availability of large-scale mobility data which has been popularized in the media as the new currency, fueling the future vision of our smart cities that will transform our lives. The reality is that we just began to recognize significant research challenges across a spectrum of topics. Consequently, there is an increasing interest among different research communities (ranging from civil engineering to computer science) and industrial stakeholders on building knowledge discovery pipelines over such data sources. However, such availability also raises privacy issues that must be considered by both industrial and academic stakeholders on using these resources. © 2000-2011 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4