TY - GEN
T1 - Understanding personal mobility patterns for proactive recommendations
AU - Costa, Ruben M.
AU - Figueiras, Paulo Alves
AU - Oliveira, Pedro
AU - Jardim-Goncalves, Ricardo
N1 - sem pdf conforme despacho.
PY - 2015
Y1 - 2015
N2 - This paper proposes an innovative methodology for extracting and learning personal mobility patterns. The objective is to award daily commuters in a city with personalized and proactive recommendations, related with their mobility habits on a daily basis. In currently approaches, users have to explicitly provide their routes (origin, destination and date/time) to a routing engine in order to be notified about traffic events. The proposed approach goes beyond and learns daily mobility habits from the users, without the need to provide any information. The work presented here, is currently being addressed under the EU OPTIMUM project. Results achieved establish the basis for the formalization of the OPTIMUM domain knowledge on personal mobility patterns.
AB - This paper proposes an innovative methodology for extracting and learning personal mobility patterns. The objective is to award daily commuters in a city with personalized and proactive recommendations, related with their mobility habits on a daily basis. In currently approaches, users have to explicitly provide their routes (origin, destination and date/time) to a routing engine in order to be notified about traffic events. The proposed approach goes beyond and learns daily mobility habits from the users, without the need to provide any information. The work presented here, is currently being addressed under the EU OPTIMUM project. Results achieved establish the basis for the formalization of the OPTIMUM domain knowledge on personal mobility patterns.
KW - Data acquisition
KW - Intelligent transport systems
KW - Machine learning
KW - Mobility patterns
UR - http://www.scopus.com/inward/record.url?scp=84950997173&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-26138-6_16
DO - 10.1007/978-3-319-26138-6_16
M3 - Conference contribution
AN - SCOPUS:84950997173
VL - 9416
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 127
EP - 136
BT - On the Move to Meaningful Internet Systems: OTM 2015 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Proceedings
PB - Springer Verlag
T2 - International Workshops on the Move to Meaningful Internet Systems, OTM 2015
Y2 - 26 October 2015 through 30 October 2015
ER -