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Travel mode imputation using GPS and accelerometer data from a multi-day travel survey

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References

2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
2010Route choice of cyclists in Zurich320 cited
2007Use characteristics and mode choice behavior of electric bike users in China318 cited
2006Household travel surveys: Where are we going?317 cited
1999Can using global positioning system (GPS) improve trip reporting?282 cited
2013Transportation mode recognition using GPS and accelerometer data235 cited
2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
2015Travel mode detection based on GPS track data and Bayesian networks154 cited
2010Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks136 cited
2003Trip Rate Analysis in GPS-Enhanced Personal Travel Surveys118 cited
2016Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data83 cited
2015When is big data big enough? Implications of using GPS-based surveys for travel demand analysis76 cited
2010Semiautomatic Imputation of Activity Travel Diaries57 cited
2008Identifying trips and activities and their characteristics from GPS raw data without further information

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47 cited

2015Classification of automobile and transit trips from Smartphone data: Enhancing accuracy using spatial statistics and GIS28 cited

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2024A review of travel behavioural pattern using GPS dataset: A systematic literature review12 cited
2020Modelling cellphone trace travel mode with neural networks using transit smartcard and home interview survey data10 cited
2024Towards a transformation in urban commuting analysis with high-precision mobile phone signaling data: Identifying commuting characteristics based on individual scale9 cited
2024Travel Mode Identification for Non-Uniform Passive Mobile Phone Data8 cited
2024Travel-mode inference based on GPS-trajectory data through multi-scale mixed attention mechanism4 cited
2023Cross‐Border Travel Behavior Analysis of Hong Kong‐Zhuhai‐Macao Bridge Using MXL‐BMA Model4 cited