A New Algorithm for Mode Detection in Travel Surveys
暂无分享,去创建一个
[1] Peter R. Stopher,et al. Quantifying the Difference Between Self-Reported and Global Positioning Systems-Measured Journey Durations: A Systematic Review , 2013 .
[2] Kara M. Kockelman,et al. Reducing Burden and Sample Sizes in Multiday Household Travel Surveys , 2008 .
[3] Scott Duncan,et al. Combining GPS, GIS, and accelerometry: methodological issues in the assessment of location and intensity of travel behaviors. , 2010, Journal of physical activity & health.
[4] Lara Montini,et al. Improving post-processing routines for GPS observations using prompted-recall data , 2011 .
[5] Kees Maat,et al. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands , 2009 .
[6] Peter R. Stopher,et al. Evaluating and improving software for identifying trips, occupancy, mode and purpose from GPS traces. , 2013 .
[7] Charles E Matthews,et al. Prediction of activity mode with global positioning system and accelerometer data. , 2008, Medicine and science in sports and exercise.
[8] Deborah Estrin,et al. Using mobile phones to determine transportation modes , 2010, TOSN.
[9] Kay W. Axhausen,et al. Optimal parameter values for GPS post-processing: An experiment , 2008 .
[10] Nadine Schüssler,et al. Accounting for similarities between alternatives in discrete choice models based on high-resolution observations of transport behaviour , 2010 .
[11] Peter Widhalm,et al. Transport mode detection with realistic Smartphone sensor data , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).