Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data

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 comprehensive information on individuals' behaviour is needed as well as effective feedback/communication ...

Predicting Mobility of Sands in the Future Based on Sensitivity Analysis Test (Case Study: Manjil City)

Sand dunes are one of the most important and sensitive wind erosion susceptible landforms whose activity varies depending on the severity of the impact of various climatic and terrestrial factors. Long-term monitoring of these factors, along with the mobility status of sand sands in different areas, can have a significant effect on reducing their adverse effects. One of the sensitive areas of w...

Smart Mobility

Mobile Privacy-Preserving Crowdsourced Data Collection in the Smart City

Smart cities rely on dynamic and real-time data to enable smart urban applications such as intelligent transport and epidemics detection. However, the streaming of big data from IoT devices, especially from mobile platforms like pedestrians and cars, raises significant privacy concerns. Future autonomous vehicles will generate, collect and consume significant volumes of data to be utilized in d...

Mining human mobility data and social media for smart services