crowdsourcing

Efficient use of geographical information systems for improving transport mode classification

Comparison between transport mode classifiers is usually performed without considering imbalanced samples in the dataset. This problem makes performance rates, such as accuracy and precision, not enough to report the performance of a classifier …

Processing crowdsourced data for the analysis of mobility behaviour

Unsupervised hierarchical clustering approach for tourism market segmentation based on crowdsourced mobile phone data

Understanding tourism related behavior and traveling patterns is an essential element of transportation system planning and tourism management at tourism destinations. Traditionally, tourism market segmentation is conducted to recognize …

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 …