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          • Connected Vehicle Pilot: Safety and user perceptions evaluation
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      traffic prediction

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      2. Entries tagged with "traffic prediction"

      Chintan Advani - iMOVE PhD program

      Chintan Advani – iMOVE PhD student

      PhD Student profileBy Staff writers3 August, 2022Leave a comment

      Chintan Advani’s PhD topic is ‘Empirical modelling of traffic states and route choice behaviour’. This profile outlines his work, lessons learnt, and more.

      iMOVE project 1-003 - final reports - lead imagev2

      Data and simulation: Improving Perth’s road network performance

      Project OutcomesBy Scott Fitzgerald9 June, 2022Leave a comment

      Download the three final reports from iMOVE’s ‘Improved network performance prediction through data-driven analytics and simulation’ project.

      Project 1-027 lead image - traffic prediction

      Advanced data analytics: Real-time demand calibration/prediction

      ProjectBy Staff writers19 January, 2022Leave a comment

      This project aims to improve travel demand calibration and accuracy of 24 hour/ 7 days network simulation models for any hour of any day.

      Project 5-059 main image

      Empirical modelling of traffic states and route choice behaviour

      ProjectBy Staff writers7 December, 2021Leave a comment

      In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.

      Project-1-025 lead image

      Transport predictive solution Stage 2: AI and real-time simulation

      ProjectBy Staff writers23 November, 2021Leave a comment

      This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.

      Real-time network prediction and response simulation

      Intelligent Transport Systems, ProjectBy Scott Fitzgerald24 February, 2021Leave a comment

      This project will see an Aimsun Live pilot system installed in Queensland, providing real-time simulation-based prediction, projecting 60 minutes ahead.

      50 celebration

      50 iMOVE projects underway

      Intelligent Transport SystemsBy Scott Fitzgerald2 September, 2020Leave a comment

      iMOVE now has 50 projects either on the go or completed. Find out more about the latest 10, who’s leading them, and where they are taking place.

      Transport predictive solution Stage 1: Aimsun WA Live pilot

      ProjectBy Staff writers19 August, 2020Leave a comment

      R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.

      Modelling traffic disruption impact: Deep Learning & simulation

      ProjectBy Staff writers12 August, 2020Leave a comment

      This PhD looks at prediction of traffic disruptions in cities using AI and synergising traffic simulation modelling to help traffic authorities respond.

      Akshay Vij

      Akshay Vij: Choice modeller

      Smart Mobility ExpertBy Scott Fitzgerald19 March, 2019

      Akshay Vij develops statistical models that can be used to understand and predict human behaviour, particularly in transport about him and his work.

      Improved network performance prediction through data-driven analytics and simulation

      ProjectBy Scott Fitzgerald28 February, 2018Leave a comment

      This project aims to improve the ability of road authorities to predict network performance in the short-term using data-driven analytics and to estimate the impact of automated vehicles (AVs) in longer-term predictions.

      Perth skyline

      Western Australia starts strong with its first two iMOVE projects

      Freight and LogisticsBy Scott Fitzgerald27 February, 2018Leave a comment

      Western Australia kicks off its iMOVE involvement with two projects, one looking at traffic prediction and preparation for connected vehicles, the other planning freight and trade logistics strategy for the next 50-100 years for Perth and its surrounds.

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