QLD | TMN Seminar for Young Professionals – Lightning Talks | In-person | 13 Sept 2022

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About this event

The AITPM QLD Young Professional Network (YPN) is proud to host Transport Modelling Network (TMN) Seminar for Young Professionals – Lightning Talks.

We have invited four young Queensland modelling professionals to give a brief presentation about some recent interesting work. Please join us to learn from their experiences, and to network with other Brisbane transport modellers.

1. Jack Rogers (SMEC)

Whilst everything may look like a nail to a hammer, sometimes a hammer is not the best tool for the job. As transport professionals, we are not immune to this challenge, occasionally becoming victims of temptation by taking the path of least resistance, only to find that this approach creates more problems than it solves. This presentation will discuss why choosing to accept an existing microsimulation model, that was calibrated and validated for a broader purpose, could not be justified when providing inputs into an options analysis of a localised specialist land use. And further, how drawing on first principles through the lens of strategic generation and attraction allowed us to meet project expectations by just keeping it simple (stupid).

2. Emogen Collins (Aurecon)

Emogen will give a quick presentation on a recent Aimsun microsimulation traffic model she has worked on that showcases a couple of unique traffic conditions. Emogen will run through a brief introduction to the project and what the goal of the model aims to achieve, talk through what made this model unique from a typical microsimulation model which was to simulate car and articulated truck interactions with trains, boom gates, open level crossings and reach stackers/ITVs, and then show how the model coding accounted for these factors. Emogen will run a short video of the model running in action and then finish off with an example output from the model.

3. Tom Cleugh (VLC) 

Development of an Australia-wide Activity Based Model using a mixture of machine learning and traditional econometric approaches.

4. Sakitha Kumarage (KPMG)

Demand management aiming to optimize system cost while ensuring user compliance in an urban traffic network is a challenging task. This study introduces a cooperative demand redistribution strategy to optimize network performance through the retiming of departure times within a limited time window. The proposed model minimizes the total time spent in a two-region urban network by incurring minimal disruption to travelers’ departure schedules.  It introduces a city-scale, realistic, day-to-day traffic assignment model to evaluate equilibrium conditions for a two-region urban network with constrained system optimal conditions. Two traffic models based on the macroscopic fundamental diagram (MFD) are jointly implemented to redistribute demand and analyze travelers’ reaction. The results confirm the resourcefulness of the model to address complex two-region traffic dynamics and to increase overall performance by reaching a constrained system optimum scenario while ensuring the applicability at both full and partial user compliance conditions.

For any enquires, please contact Jason Kruger

Government Health Guidelines

This event will be run in compliance with the Government’s health orders applicable to our venue. These may impose mask wearing, density limits and other COVID safe requirements including being fully vaccinated.

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If you are no longer able to attend because of vaccination or other requirements, please contact us as soon as possible to discuss available options.

If the event is cancelled due to COVID-19 restrictions, you are entitled to a full refund of your ticket price in accordance with the cancellation policy.

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