Seminar: Smart Data Analytics for Traffic Congestion Management

*** Please note that there are limited number of seats, so please RSVP if attending in person at Black Mountain. Thanks. ***

Topic: Smart Data Analytics for Traffic Congestion Management
Speaker: Dr. Adriana-Simona Mihaita, Senior Research Scientist, Data61, CSIRO
Date and time: 2-4pm Friday 16 Nov 2018
Location: Synergy Building, CSIRO, Black Mountain (at corner of Dickson Way and North Science Road)
Room: RD04-Stringybark, Ground Floor
RSVP (if attending in person at Black Mountain): https://www.meetup.com/CanberraDataSci/events/256024965/
Please note that Meetup might be blocked in public sector, and if so, personal devices would be needed to access the RSVP link.

Parking: If you RSVP, we can arrange parking spots for you at CSIRO staff carpark, and you are suggested keep your Meetup profile updated with full name for carpark access purpose. Alternatively, free parking spots are available at end of Dickson Way (and then Christian Road).

Sign-in process: Upon arrival, please sign in with the touch-screen at entry and put on the printed name tag. Our staff will meet you there at 2-2:15pm. If arrive later than 2:15pm and no staff is there, please ring Yanchang 04300 93392.

Acknowledgement: We'd like to thank M&T Resources for sponsoring catering.

Agenda:
2-2:15pm: arrival and sign-in
2-2:30pm: networking, snacks and refreshments
2:30-3:30pm: presentation
3:30-4pm: networking, snacks and refreshments

Topic: Smart Data analytics for traffic congestion management

Abstract:
The presentation will focus on several data-driven and traffic simulation approaches that the Advanced Data Analytics Group (ADAIT) of Data61|CSIRO have been working on in the last years in order to improve traffic congestion. Amongst these we name the origin-to-destination estimation matrix for understanding how people travel around the city, the multi-modal choice analysis for identifying the preferred transportation modes in the city and their robustness to perturbations, as well as traffic simulation modelling approaches for understanding the impact of traffic accidents in the city of Sydney. The ADAIT group is the only winner of the prestigious NSW Premier’s Innovation Initiative in 2015 and also won several ITS Australia National Awards in 2014,2015 and recently nominated as finalist for the research awards in 2018.

Bio:
Dr. Adriana-Simona MIHAITA is currently a Senior Research Scientist and deputy team leader of the “Advanced Data Analytics in Transportation” (ADAIT) team under the Analytics Program in Data61|CSIRO. Her main research focus is how to engage traffic simulation and optimization using machine learning and advanced data analytics to improve the traffic congestion, predicting the incident duration and estimating the urban impact, while also leveraging smart analytics for connected and autonomous vehicles in a smart city environment. She holds several project management and leadership roles in various initiatives such as the “Premiere’s Innovation Initiative” (sole winner of the TfNSW congestion program with the aim of building a cloud-based data platform in transport), the “On-Demand Mobility” trials in Northern Beaches in partnership with Keolis Downer (for releasing a new on-demand and shared public transport service), the Australian-Singapore Strategic Collaboration Partnership (for collaborations between the two countries on solving congestion problems), as well as the Investigation of positioning accuracy of Connected Vehicles operated by the Road Safety Centre in Transport for NSW (TfNSW).