Data-driven predictive model for dynamic expected travel time estimation in rail freight networks : a case study
Suraj Kumar, Ayush Sharma, Gaurav Kumar
| Year of publication: |
2025
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|---|---|
| Authors: | Kumar, Suraj ; Sharma, Ayush ; Kumar, Gaurav |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 200.2025, Art.-No. 104201, p. 1-28
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| Subject: | Congestion | Ensemble model | Freight Trains | Graph neural networks | Kalman Filter | LSTM | Travel-time estimation | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Schienengüterverkehr | Rail freight transport | Transportzeit | Travel time | Zustandsraummodell | State space model | Güterverkehr | Freight transport | Verkehrsstau | Traffic congestion | Graphentheorie | Graph theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2025.104201 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015451323