Dynamic scheduling of public transport drivers and services to respond to disruptions

Project description

Traditional approaches to scheduling are focussed on providing best solutions in a deterministic setting where all travel times are known. This research would develop new models and computational algorithms to address the inherent variability and uncertainty of travel times in two ways. Firstly, by considering the uncertainty during schedule construction to build in flexibility to enable recovery, and secondly by developing algorithmic tools to rapidly reschedule in the presence of changes to travel time in a dynamic environment.

Industry Partner

The project will be conducted in collaboration with the industry partner TRANSDEV AUSTRALASIA. The project will require regular collaborative work with the teams at Transdev who are based in Melbourne and Sydney.

Doctoral Candidate

Mr Robert Milligan

Rob

Supervisors

Main supervisor:

  • Prof. Andreas Ernst, School of Mathematics, Monash Data Futures Institute, Faculty of ScienceProf. Andreas Ernst, School of Mathematics, Monash Data Futures Institute, Faculty of Science

Co-supervisor:

  • Dr. Elias Kassa, Monash Institute of Railway Technology, Faculty of Engineering
  • A/Prof. Melih Ozleh, School of Science, RMIT University
Faculties Involved

Science and Engineering

Contact Details & Additional Information

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