Tracking locomotive position to evaluate sugarcane railway schedules and predict arrival time

Kono, Alex Rodrigues (2015) Tracking locomotive position to evaluate sugarcane railway schedules and predict arrival time. Masters by Research thesis, Queensland University of Technology.

Abstract

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.

Impact and interest:

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Full-text downloads:

55 since deposited on 13 May 2015
26 in the past twelve months

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ID Code: 82853
Item Type: QUT Thesis (Masters by Research)
Supervisor: Kent, Geoff & Sahama, Tony
Keywords: GIS, GPS, sugarcane, TOTools, Transport, Travel Time, Railway, Scheduling
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 13 May 2015 06:08
Last Modified: 08 Sep 2015 06:16

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