2023
DOI: 10.1109/ojits.2023.3331447
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Network-Wide Public Transport Occupancy Prediction Framework With Multiple Line Interactions

Federico Gallo,
Nicola Sacco,
Francesco Corman

Abstract: This paper addresses the problem of predicting the occupancy of urban public transport vehicles with a network-wide framework where the effects of the interactions between multiple lines are jointly considered. In particular, we propose and compare several occupancy predictors, each of them differing in the amount of information used and in the prediction model adopted. We consider two prediction models: a behavioral model that assumes an explicit relation between some observed variables and the occupancy, and… Show more

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Cited by 3 publications
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