Cargando…
Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior
Sustainable mobility and smart mobility management play important roles in achieving smart cities’ goals. In this context we investigate the role of smartphones as mobility behavior sensors and evaluate the responsivity of different attitudinal profiles towards personalized route suggestion incentiv...
Autores principales: | Semanjski, Ivana, Lopez Aguirre, Angel Javier, De Mol, Johan, Gautama, Sidharta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970084/ https://www.ncbi.nlm.nih.gov/pubmed/27399700 http://dx.doi.org/10.3390/s16071035 |
Ejemplares similares
-
Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data
por: Semanjski, Ivana, et al.
Publicado: (2015) -
Unsupervised Hierarchical Clustering Approach for Tourism Market Segmentation Based on Crowdsourced Mobile Phone Data
por: Rodríguez, Jorge, et al.
Publicado: (2018) -
Use of Supervised Machine Learning for GNSS Signal Spoofing Detection with Validation on Real-World Meaconing and Spoofing Data—Part II (†)
por: Semanjski, Silvio, et al.
Publicado: (2020) -
Privacy Aware Incentivization for Participatory Sensing
por: Connolly, Martin, et al.
Publicado: (2019) -
Incentivizing for Truth Discovery in Edge-assisted Large-scale Mobile Crowdsensing
por: Xu, Jia, et al.
Publicado: (2020)