Cargando…
Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data
Mobility management represents one of the most important parts of the smart city concept. The way we travel, at what time of the day, for what purposes and with what transportation modes, have a pertinent impact on the overall quality of life in cities. To manage this process, detailed and comprehen...
Autores principales: | Semanjski, Ivana, Gautama, Sidharta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541863/ https://www.ncbi.nlm.nih.gov/pubmed/26151209 http://dx.doi.org/10.3390/s150715974 |
Ejemplares similares
-
Unsupervised Hierarchical Clustering Approach for Tourism Market Segmentation Based on Crowdsourced Mobile Phone Data
por: Rodríguez, Jorge, et al.
Publicado: (2018) -
Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior
por: Semanjski, Ivana, et al.
Publicado: (2016) -
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) -
Mobility-Aware Privacy-Preserving Mobile Crowdsourcing †
por: Qiu, Guoying, et al.
Publicado: (2021) -
Exploiting Mobile Edge Computing for Enhancing Vehicular Applications in Smart Cities
por: El-Sayed, Hesham, et al.
Publicado: (2019)