Difference between revisions of "Train run based data intelligence"
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== Use Case == | == Use Case == | ||
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| + | === ETA Calculation === | ||
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| + | The current ETA quality is not sufficient (e.g. different ETA solutions / initiative depending on products and created from different sources) and does not cover the entire transport route. | ||
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| + | ETA is provided for all rail freight products both on train and shipment level (e.g. block trains, SWL, intermodal etc.) easily accessible via the digital platform, also serving as input for a future seamless track & trace solution. Train run info from IMs serves as basic data for a reliable train ETA. | ||
== Preconditions == | == Preconditions == | ||
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== Evaluation == | == Evaluation == | ||
| + | * Frank Kschonsak | ||
| + | Close to SM_18 and SM_04. An optimized planning might be the result of KI services, based on all relevant planning-parameters. “Train-run” optimization is based on current information on infrastructure management. | ||
Latest revision as of 12:42, 6 July 2021
Contents
Description
Based on realized train runs an artifical interlligence can forecast, optimize and make operational decisions for further transports.
Use Case
ETA Calculation
The current ETA quality is not sufficient (e.g. different ETA solutions / initiative depending on products and created from different sources) and does not cover the entire transport route.
ETA is provided for all rail freight products both on train and shipment level (e.g. block trains, SWL, intermodal etc.) easily accessible via the digital platform, also serving as input for a future seamless track & trace solution. Train run info from IMs serves as basic data for a reliable train ETA.
Preconditions
Basic Services
Dependencies
Planned Steps
Evaluation
- Frank Kschonsak
Close to SM_18 and SM_04. An optimized planning might be the result of KI services, based on all relevant planning-parameters. “Train-run” optimization is based on current information on infrastructure management.
