We present a method to predict and validate home and work locations of commuters using their public transport smart card data. Existing works rely on ...
Validation results show that the proposed method is able to predict meaningful home and work places of commuters using their public transport smart card ...
Li, Yu, Ng, Wu and Goh (2015) developed a probabilistic approach to infer the home locations using SC data in Singapore, by exploring the underlying repeated ...
We present a method to predict and validate home and work locations of commuters using their public transport smart card data. Existing works rely on ...
Sep 1, 2015 · We present a method to predict and validate home and work locations of commuters using their public transport smart card data. Existing works ...
Predicting Home and Work Locations Using Public Transport Smart Card Data by Spectral Analysis. G. Li, L. Yu, W. Ng, W. Wu, and S. Goh. ITSC, page 2788-2793 ...
Predicting Home and Work Locations Using Public Transport Smart Card Data by Spectral Analysis Check for available services ...
The results show close to 69% residential locations inference rates and more than 72% workplace locations inference rates. The mean value of inferred areas is ...
Missing: Spectral | Show results with:Spectral
Nov 28, 2018 · This study seeks to develop an accurate framework for the study of urban mobility from smart card data by developing a heuristic primary location model.
This paper proposes a method to infer passenger's trip purpose from smart card fare data by integrating several attributes and databases.
Missing: Spectral | Show results with:Spectral