What's new?
1) Estimating the Impact of Electric Vehicles Across Transport and Energy Systems, Category: Excellence in R&D
UTS collaborated with the Australian Energy Market Operator (AEMO) using data from Transport for NSW to deliver a new transdisciplinary approach for estimating electric vehicle adoption impact on consumer waiting times, traffic congestion and energy demand across multiple EV uptake scenarios. Special thanks: Joachim Tan (AEMO), Virginie Vernin (TfNSW)
2)Next Generation of Digital Twin, Category: Excellence in Transport Data
UTS Data Science Institute has been working in the last years on building the Sydney Real-Time Digital Twin Platform, integrating at once several types of data sources such as all the city 3D layout with top layers like the public transport movement in real-time, transport simulation for incident scenario management in real-time, water pipes layout via IoT sensing data transmission and air quality real-time transmission from monitoring stations in Sydney.
Congratulations to everyone involved: Fang Chen, Distinguished Professor Dr. Adriana-Simona Mihaita, Adam Berry Yuming Ou Mao Tuo Lelin (Merlin) Zhang Yang Wang Seunghyeon Lee Michael Blumenstein Artur Grigorev


- Mihaita A. S.; Papachatgis, Zac, Rizoiu, M.A., Graph modelling approaches for motorway traffic flow prediction, IEEE Intelligent Transport Systems Conference 2020, Rhodes, Greece. September 20-23, 2020.
- Ou, Yuming, Mihaita A. S., Fang Chen, Dynamic Train Demand Estimation and Passenger Assignment, IEEE Intelligent Transport Systems Conference 2020 , Rhodes, Greece. September 20-23, 2020.












Transgrid visit at UTS tech Lab

- Mihaita, A.S., Liu, Z., Cai, C., Rizoiu, M.A “Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting”, Preprint
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- Mao, T., Mihaita, A.S., Cai, C., Traffic Signal Control Optimisation under Severe Incident Conditions using Genetic Algorithm. Preprint
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- Shaffiei, S. Mihaita, A.S., Cai, C., Demand Estimation and Prediction for Short-term Traffic Forecasting in Existence of Non-recurrent Incidents. Preprint
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2) Another journal article has been finally published this month in the International Journal of Intelligent Transportation Systems Research in which we have proposed an integration of mesoscopic traffic simulation modelling and air quality models for NO2, SO2 and PM10 in order to predict the air quality in Loraine, France. The official and final version of the paper can be found on on the IJIT website, while the free version on my Publication List.





I will also be the moderator of a Special Interest Session regarding the "Roles of data analytics and transportation modelling for fast-changing urban infrastructure" (Wednesday 12 October 2016, 14:00 - 15:30 (Meeting room 219). Listen to the entire session here.
Mbr> If you have some time, join our ADAIT team at the stand 3118 to talk about our new cloud hosted real-time transport data analytic platform as well as hot topics in connected vehicles.



I was responsible of the collaborative platform for managing new creativity ideas, using interconnected objects such as the Surface SUR40 Tablet, Saumsung Galaxy tablets, as well as personal laptops.
As well, my team of students from ENSGSI was present on the spot to show our latest 3D Simulation of the Ecological-Neighbourhood Nancy Grand Coeur, currently under reconstruction.
