@misc{10481/87303,
year = {2018},
month = {6},
url = {https://hdl.handle.net/10481/87303},
abstract = {Personalization of pedestrian routes becomes a necessity due to the wide variety of user profiles that may differ on preferences or requirements to choose a route. Several software applications offer routes usually based on single criterion like distance or time; however, these criteria do not often fit the pedestrian needs.

Here, we will first focus on the Personalized Routes Problem and then we will approach the specific case of designing accessible and green pedestrian routes.

The proposal is implemented as a freely available Android application (named as PRoA, by intelligent multi-criteria Personalized Route Assistant), which automatically obtains geographical data and information for the decision criteria from open datasets.

The proposal is evaluated using real cases at the city of Granada, Spain.},
organization = {Research supported in part by projects TIN2014-55024-P (Spanish Ministry of Economy and Competitiveness) and P11-TIC-8001 (Consejería de Economía, Innovación y Ciencia, Junta de Andalucía). Both projects include FEDER funds from the European Union.

M. Torres enjoys a Ph.D. research training staff grant associated with the project TIN2014-55024-P and co-funded by the European Social Fund .},
publisher = {Elsevier B.V},
title = {PRoA: An intelligent multi-criteria Personalized Route Assistant},
doi = {https://doi.org/10.1016/j.engappai.2018.03.016},
author = {Torres, Marina and Pelta Mochcovsky, David Alejandro and Verdegay Galdeano, José Luis},
}