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Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City

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References

2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems296 cited
2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
2006Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning129 cited

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2015Activity detection and transfer identification for public transit fare card data117 cited
2012Transit smart card data mining for passenger origin information extraction93 cited
2015Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation93 cited
2018Smart Card Data Mining of Public Transport Destination: A Literature Review88 cited
2019Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions88 cited
2016Detecting home location and trip purposes for cardholders by mining smart card transaction data in Beijing subway84 cited
2017Deep‐learning architecture to forecast destinations of bus passengers from entry‐only smart‐card data77 cited
2018A robust method for estimating transit passenger trajectories using automated data64 cited
2019Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

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64 cited

2017Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data57 cited

2013Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach52 cited

2022Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework45 cited

2017Constructing Transit Origin–Destination Matrices with Spatial Clustering40 cited

2019Improving alighting stop inference accuracy in the trip chaining method using neural networks38 cited

2021Multi-stage deep learning approaches to predict boarding behaviour of bus passengers38 cited