Mobility Mining for Journey Planning in Rome

Abstract

We present recent results on integrating private car GPS routines obtained by a Data Mining module. into the PETRA (PErsonal TRansport Advisor) platform. The routines are used as additional “bus lines”, available to provide a ride to travelers. We present the effects of querying the planner with and without the routines, which show how Data Mining may help Smarter Cities applications.

Cite

Text

Berlingerio et al. "Mobility Mining for Journey Planning in Rome." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015. doi:10.1007/978-3-319-23461-8_18

Markdown

[Berlingerio et al. "Mobility Mining for Journey Planning in Rome." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015.](https://mlanthology.org/ecmlpkdd/2015/berlingerio2015ecmlpkdd-mobility/) doi:10.1007/978-3-319-23461-8_18

BibTeX

@inproceedings{berlingerio2015ecmlpkdd-mobility,
  title     = {{Mobility Mining for Journey Planning in Rome}},
  author    = {Berlingerio, Michele and Bicer, Veli and Botea, Adi and Braghin, Stefano and Lopes, Nuno and Guidotti, Riccardo and Pratesi, Francesca},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2015},
  pages     = {222-226},
  doi       = {10.1007/978-3-319-23461-8_18},
  url       = {https://mlanthology.org/ecmlpkdd/2015/berlingerio2015ecmlpkdd-mobility/}
}