Tracking locomotive position to evaluate sugarcane railway schedules and predict arrival time
Data(s) |
2015
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Resumo |
This research utilised software developed for managing the Australian sugar industry's cane rail transport operations and GPS data used to track locomotives to ensure safe operation of the railway system to improve transport operations. As a result, time usage in the sugarcane railway can now be summarised and locomotive arrival time to sidings and mills can be predicted. This information will help the development of more efficient run schedules and enable mill staff and harvesters to better plan their shifts ahead, enabling cost reductions through better use of available time. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/82853/1/Alex%20Rodrigues_Kono_Thesis.pdf Kono, Alex Rodrigues (2015) Tracking locomotive position to evaluate sugarcane railway schedules and predict arrival time. Masters by Research thesis, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #GIS #GPS #sugarcane #TOTools #Transport #Travel Time #Railway #Scheduling |
Tipo |
Thesis |