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          • Developing a low/zero emission transport strategy for Australia
          • Connected Vehicle Pilot: Safety and user perceptions evaluation
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        • Featured Articles
          • FACTS: A Framework for an Australian Clean Transport Strategy
          • Where’s my box? The case for improved supply chain visibility. Now!
          • Light Insight Trial (LiT): Smart bike lights data and road safety
          • Modelling traffic congestion as a contagion
        • Collections
          • Meet smart mobility experts
          • Effects of COVID on the transport sector
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      University of Sydney

      You are here:
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      2. Entries tagged with "University of Sydney"

      iMOVE project 3-034 - framework of support to scale Mobility as a Service

      A framework of support to scale in Mobility as a Service

      ProjectBy Staff writers6 September, 2023Leave a comment

      This project seeks to consider the ideal MaaS framework to benefit users and providers in a sustainable way, acknowledging all parts of the MaaS ecosystem.

      iMOVE project 1-079 - Large Australian Animal Activated Roadside Monitoring Alert System

      Large Animal Activated Roadside Monitoring and Alert System

      ProjectBy Staff writers30 August, 2023Leave a comment

      Develop and field test a large animal activated roadside monitoring and alert system for detecting large animals on roadsides and alerting motorists in advance.

      iMOVE project 5-004 lead image - CAVs in crowded pedestrian environments

      Autonomous vehicles in highly crowded pedestrian environments

      ProjectBy Staff writers7 July, 2022Leave a comment

      This PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.

      iMOVE project 1-012 lead image - Safely introducing CAVs

      Safely introducing CAVs into integrated transport networks

      ProjectBy Staff writers7 July, 2022Leave a comment

      Research into customer-focused safe operation of CAVs in various urban environments to improve road user safety & inform NSW of road readiness for CAVs.

      iMOVE project 1-044 lead image - Data analytics for development and testing AVs on urban roads

      Data analytics for development and testing of AVs on urban roads

      ProjectBy Scott Fitzgerald28 April, 2022Leave a comment

      This project will provide comprehensive driving data and analysis tools for the design and testing of an autonomous vehicles software stack.

      ITLS-logo-875px

      Institute of Transport and Logistics Studies

      Research capabilityBy Staff writers27 April, 2022Leave a comment

      Sydney University’s Institute of Transport and Logistics Studies is one of iMOVE’s key research partners. Find out more about its people and expertise.

      iMOVE project 3-020 lead image - regional and rural MaaS

      MaaS blueprint design for regional towns and rural hinterlands

      ProjectBy Staff writers26 April, 20222 Comments

      Design of a blueprint for future MaaS initiatives in a rural/regional setting, drawing on an iMOVE trial, international evidence, and new data.

      Jun Li and autonomous mobile locker

      Jun Li – iMOVE PhD student

      PhD Student profileBy Staff writers14 April, 2022Leave a comment

      Jun Li’s PhD project with iMOVE is ‘Autonomous mobile lockers for city logistics’. Here is more information on that research, and of her academic journey.

      Dr Mao Shan and Dr Julie Berrio Perez, researchers from the Australian Centre for Field Robotics at the University of Sydney

      iMOVE at CRC Parliamentary showcase in Canberra

      Intelligent Transport SystemsBy Jackie King31 March, 2022Leave a comment

      iMOVE joined forces with partner Australian Centre for Field Robotics at the University of Sydney to showcase its R&D achievements at a Parliament House event.

      Project 5-056 lead-image - last mile delivery

      Integrated last mile network design for parcel delivery

      ProjectBy Staff writers10 March, 2022Leave a comment

      This PhD project aims to help parcel delivery companies thrive in a competitive environment with a strategic approach to last mile network, & fleet composition.

      Project-5-037 lead image - airlines and sustainability

      Experiments on consumer preferences for sustainable airlines

      ProjectBy Staff writers8 March, 2022Leave a comment

      This PhD project explores ways for airlines to engage with customers, industry and more to incorporate new insights into their sustainability strategies.

      Project 5-048 lead image

      Emergency facilities location and transportation routing

      ProjectBy Staff writers3 March, 2022Leave a comment

      This PhD project will develop traffic management strategies and infrastructure allocation algorithms needed to improve emergency vehicle logistics.

      Project 5-039 lead image

      Hybrid drone/truck last mile delivery planning for e-groceries

      ProjectBy Staff writers24 February, 2022Leave a comment

      In this PhD project multiple trucks, each of which is equipped with drones, will via simulation deliver grocery purchases in parallel to customers.

      Project 5-034 lead image - trust in MaaS

      Building trust and collaboration among MaaS stakeholders

      ProjectBy Staff writers9 February, 2022Leave a comment

      This PhD project will, at its conclusion, demonstrate how the roles and responsibilities of different stakeholders impact building a collaborative MaaS environment.

      Project 5-045 lead image

      Implementation of sustainable transport policies

      ProjectBy Staff writers8 February, 20222 Comments

      This PhD project explores cycle lane implementation from both a policymaker’s and user’s perspective, and flexible transport solutions for rural users.

      Project 5-049 lead image

      Bus performance assessment using GTFS data

      ProjectBy Staff writers1 February, 2022Leave a comment

      This PhD project will analyse archived GTFS data to identify significant inefficient road designs and exemplary designs for optimising performance

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