Date: Tuesday, 16 July 2019
Location: Online, 1:00pm AEST
Artificial intelligence presents opportunities to improve current operational processes in road network operations and even enable processing and functions not accessible to date. Increasing amounts of data, coupled with growing computational power and storage, and the development and accessibility of advanced algorithms, allow machines to learn from experience. Machines are learning by looking for patterns and features in data, by processing new data to improve on their learnings, and by performing tasks that complement, augment or replace human activities.
This webinar will give you an overview of opportunities to apply artificial intelligence to road network operations as well as discussing the technology’s limitations.
Join in a live Q&A with our expert panel to have your questions answered.
Presented by Matthew Gallaugher and Arash Kaviani
Matthew Gallaugher is the Director of Strategic Projects for WSP Digital, ANZ. He is responsible for the delivery of WSP Digital's critical projects in areas including ITS, human services, and engineering services. Matthew has a background in computer vision and delivering projects globally in traffic enforcement, ITS, tolling, gaming, and retail analytics. He has spent ten years specialising in solving complex problems using cutting edge technology to deliver practical and valuable solutions to clients.
Arash Kaviani is a data scientist at WSP. He has over ten years of experience in developing data-driven solutions and assisting organisations to become insight-driven. During doing his PhD and after that in industry, he has gained a lot of knowledge and expertise in applying artificial intelligence and machine learning in solving transport-related problems, including network optimisation and transport network resilience.
No charge but registration is essential.
Can’t make the live session? Register and we’ll send you a link to the recording