smart city

Forecasting transport mode use with support vector machines based approach

Forecasting travel behaviour from crowdsourced data with machine learning based model

Integrating big data into a sustainable mobility Policy 2.0 planning support system

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 …