Feeding the Machine: Machine Learning in Transport, Planning and Engineering
Thursday 10 April 2025
Time 5.00pm - 7.00pm AWST (Perth)
Format In-Person Technical Seminar
Location WSP, Level 3, Mia Yellagonga Tower 2, 5 Spring Street, PERTH (Wajuk Boodjar Country)
CPD 50 pax
Tickets
| AITPM Members | $15.00 |
| Government Subscribers | Complimentary |
| Students and AITPM Retired Members | Complimentary |
| Corporate Subscribers | 20% off non-member |
| Non Members | $45 |
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About this event
Machine Learning is a form of artificial intelligence concerned with the self-development (without instruction) of rules and algorithms by computers. The area draws from a range of other disciplines including statistics, computer science and neural networks.
The use of machine learning is rapidly changing the way we process and understand the world in a variety of fields including engineering and planning. Transport has often been an early adopter of such tools for addressing some of the complex problems that we face. As a tool to assess aspects of travel behaviour and achieve efficiencies in our networks, machine learning has many advantages over traditional approaches but also has some limitations as well.
This seminar will explore some of these aspects with consideration to its application in real world transport planning cases and how they can transform how we shape the future.
Registrations close Monday 7 April 2025.
For more information please contact the team at AITPM.
Rafid Morshedi | Associate Data Scientist/ Engineer | WSP
Rafid is an Associate Data Scientist / Engineer at WSP with a broad range of experiences and skills gained from working in both the government and private sectors. His uniquely diverse skillset enables him to solve complex problems and improve decision making across a wide variety of projects, ranging from developing Monte Carlo Markov Chain models to model bridge deterioration, to signalling design for the Advanced Train Control Migration System project.
Dr John Henstridge | Managing Director and Chief Consultant Statistician | Data Analysis Australia
John has a deep understanding of the intersection between statistical methods and machine learning applications. His presentation will provide valuable insights into how traditional statistical frameworks can enhance machine learning models, making them more robust and interpretable. This perspective is particularly beneficial for professionals in transport planning and related sectors who are looking to integrate data-driven insights into their projects.
Graham Jacoby | Network Operations Analysis Manager | Main Roads WA
Graham is the Network Operations Analysis Manager at Main Roads WA; as part of his role he is concerned with the development of a system of analysis of the Main Roads road network through a range of different sensors and recorded data
Join the AITPM members from these organisations who have already registered including:
| Organisation | State |
|---|---|
| University of Western Australia | WA |
| Aurecon | WA |
| Edith Cowan University | WA |
| Transport for NSW | NSW |
| City of Melbourne | VIC |
| Curtin University | WA |
| Stantec Australia Pty Ltd | WA |
| Department of Transport WA | WA |
| Department of Transport WA | WA |
| Matrix Traffic and Transport Data | WA |
| Stantec Australia Pty Ltd | WA |
