UnCrowdTPG: Assuring the experience of public transportation users
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Standard
UnCrowdTPG : Assuring the experience of public transportation users. / Gustarini, Mattia; Marchanoff, Jerome; Fanourakis, Marios; Tsiourti, Christiana; Wac, Katarzyna.
International Conference on Wireless and Mobile Computing, Networking and Communications. IEEE Computer Society Press, 2014. p. 1-7 6962141.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - GEN
T1 - UnCrowdTPG
T2 - Assuring the experience of public transportation users
AU - Gustarini, Mattia
AU - Marchanoff, Jerome
AU - Fanourakis, Marios
AU - Tsiourti, Christiana
AU - Wac, Katarzyna
PY - 2014
Y1 - 2014
N2 - Use of public transportation is on a rise, enabling greener cities and improvement of the quality of life of the city residents. The challenge for the public transportation system is that its demands are non linear and the passengers' experience depends on many human factors. UnCrowdTPG is a mobile service and a research platform that has been developed for understanding the mobility patterns of the users of public transportation services in Geneva (TPG), as well as their experience with respect to the crowds perceived aboard the vehicles. UnCrowdTPG models algorithmically this experience using crowdsourcing techniques and it provides to the individual estimations of the future expected experiences aboard, thus enabling them to better plan their journeys with respect to the crowds. In this paper we position the UnCrowdTPG service as a research platform. Additionally we discuss the research questions in areas like local governance and public healthcare supported by the data analysed collectively from all UnCrowdTPG users. We also discuss the challenges for implementing the truly smart transportation system in a small-sized European city like Geneva.
AB - Use of public transportation is on a rise, enabling greener cities and improvement of the quality of life of the city residents. The challenge for the public transportation system is that its demands are non linear and the passengers' experience depends on many human factors. UnCrowdTPG is a mobile service and a research platform that has been developed for understanding the mobility patterns of the users of public transportation services in Geneva (TPG), as well as their experience with respect to the crowds perceived aboard the vehicles. UnCrowdTPG models algorithmically this experience using crowdsourcing techniques and it provides to the individual estimations of the future expected experiences aboard, thus enabling them to better plan their journeys with respect to the crowds. In this paper we position the UnCrowdTPG service as a research platform. Additionally we discuss the research questions in areas like local governance and public healthcare supported by the data analysed collectively from all UnCrowdTPG users. We also discuss the challenges for implementing the truly smart transportation system in a small-sized European city like Geneva.
KW - crowd
KW - crowdsourcing
KW - Intelligent Transportation System
KW - mobility patterns
KW - public health
KW - smart city
KW - user experience
U2 - 10.1109/WiMOB.2014.6962141
DO - 10.1109/WiMOB.2014.6962141
M3 - Article in proceedings
AN - SCOPUS:84917738898
SN - 9781479950416
SP - 1
EP - 7
BT - International Conference on Wireless and Mobile Computing, Networking and Communications
PB - IEEE Computer Society Press
ER -
ID: 131070475