Work

Stochastic prediction of train delays in real-time using Bayesian networks

Year: 2018

Type: article

Source: Transportation Research Part C Emerging Technologies

DOI: 10.1016/j.trc.2018.08.003

Authors: Francesco Corman, Pavle Kecman

Institutions: ETH Zurich, Institute for Transport Planning and Systems, Linköping University

Language: English

Topic: Railway Systems and Energy Efficiency

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Seventh Framework Programme

Awards: G5393305522, G6869010124, G7133322520, G7605498791

OpenAlex ID: W2887126012

FWCI: 11.82

Cites: 54

Cited by: 180

Related to: 10