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Deep-learning-based model for prediction of crowding in a public transit system · Study

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ArticleDeep-learning-based model for prediction of crowding in a public transit system

Arpit Shrivastava2024

Article2024

Deep-learning-based model for prediction of crowding in a public transit system

Arpit Shrivastava · Nishtha Rawat · Amit Agarwal

10 citations·0/0 files stored·Public Transport

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Transportation Planning and Optimization Traffic Prediction and Management Techniques Urban Transport Systems Analysis

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References

2013Mining smart card data for transit riders’ travel patterns 2013Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand 2007Measuring transit use variability with smart-card data 2014Round-Based Public Transit Routing 2021A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity 2018Public transport trip purpose inference using smart card fare data 2017Estimation of crowding discomfort in public transport: Results from Santiago de Chile 2013Crowding in Public Transport: A Review of Objective and Subjective Measures

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Year2024

Typearticle

Published2024-05-23

VenuePublic Transport

ISSN-L1613-7159

Languageen

Citations10

Files0 public / 0

ShelfTransportation Planning and Optimization

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doi10.1007/s12469-024-00360-z

openalex_workW4398317332

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