Discrete Event Modelling For Operational Planning Of Urban Public Transport Services - Towards Minimising The Bunching Of An Urban Bus Servic
SEMINAR: Improving Public Transport Accessibility via the Optimisation and Synchronisation of Schedules for Key Transport Modes
PRESENTER: Dr Michelle Dunbar Vice Chancellor's Postdoctoral Research Fellow SMART Infrastructure Facility
WHEN: 11.30am, Tuesday, 26 May 2015
RSVP: 12pm, Monday, 25 May, 2015 to firstname.lastname@example.org
TOPIC: As the population within modern metropolitan cities continues to grow, greater population dispersion means that daily commuters are increasingly faced with longer commute times and journeys consisting of multiple legs; often involving more than one mode of transport. In a bid to discourage the use of the private motor-car and facilitate the uptake of public transport, there is a developing trend towards the construction of centrally-located Transport Hubs, allowing passengers to connect with multiple modes of transport. To assist passengers in connecting with their outbound mode more efficiently, it is desirable to synchronise connecting modal services within the Transport Hub. In this presentation we consider the problem of designing shuttle-bus routes for passengers connecting with one of four different modes of transport at a Transportation Hub. We seek to minimise the average waiting time for passengers, the cost of missed connections at the Hub and the total travel time. Furthermore, we incorporate time-of-day effects and passenger heterogeneity with respect to value-of-time. In addition to commuters, the framework developed is amenable and directly extensible to the perishable good delivery problem for which items possess heterogeneity in delivery priority. Our model is posed as an extension of the vehicle routing problem with time windows, and solved using column generation. We provide a brief outline of our optimisation formulation and preliminary results for a number of datasets.
BIO: Michelle recently completed her PhD in Applied Mathematics at the University of New South Wales. Michelle has experience in applying mathematical optimisation techniques to real-world airline networks; to assist in the integration of key operational decisions and in providing robust solutions under operational uncertainty. She also has experience in applying non-linear optimisation tools to a variety of medical datasets to allow for improved disease detection and diagnosis; one of these tools has subsequently been taken up by a health care company.
For more information on SMART Infrastructure Facility, visit: www.smart.uow.edu.auhttps://www.smartmasterclass.com/page.redir?target=http%3a%2f%2fwww.smart.uow.edu.au&srcid=1467&srctid=1&erid=78452&trid=f032a296-d918-4935-8fb1-6015a7f4824f.
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