References

• 2021The universal visitation law of human mobility428 cited
• 2017Inferring transportation modes from GPS trajectories using a convolutional neural network404 cited
• 2017On data processing required to derive mobility patterns from passively-generated mobile phone data248 cited
• 2012Exploring the mobility of mobile phone users239 cited
• 2010Transportation mode inference from anonymized and aggregated mobile phone call detail records207 cited
• 2019Inferring fine-grained transport modes from mobile phone cellular signaling data88 cited
• 2020Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning87 cited
• 2015Transportation Mode Split with Mobile Phone Data60 cited
• 2021Understanding vehicles commuting pattern based on license plate recognition data46 cited
• 2014Detecting Outliers in Cell Phone Data45 cited
• 2022Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework44 cited
• 2023A data fusion approach with mobile phone data for updating travel survey-based mode split estimates40 cited
• 2021GPS data-based mobility mode inference model using long-term recurrent convolutional networks39 cited
• 2021Spatial–Temporal Convolutional Model for Urban Crowd Density Prediction Based on Mobile-Phone Signaling Data39 cited