Victor Deville – iMOVE PhD student
Victor Deville’s PhD project is Non-invasive vehicle classification solution using tracking radar. Read about the project, and his approach to the research.
The relationship between vehicle telemetry and sustainability
The objective of this PhD project is to analyse the relationship between telemetry and its impact on commercially sustainable transportation solutions/networks.
Mehrangiz Shahbakhsh – iMOVE PhD student
Mehrangiz Shahbakhsh tells us about her PhD journey, and her project ‘Seafarer training for autonomous shipping: Needs & challenges’.
Kun Zou – iMOVE PhD student
Find out more about RMIT student Kun Zou, a participant in iMOVE’s Industry PhD Program. His research project: Advanced driver state monitoring system.
Queue length estimation at signalised intersections
This PhD project proposes a methodology to estimate real-time queue lengths by using high-resolution detector data and signal timing data.
Integrated last mile network design for parcel delivery
This PhD project aims to help parcel delivery companies thrive in a competitive environment with a strategic approach to last mile network, & fleet composition.
Experiments on consumer preferences for sustainable airlines
This PhD project explores ways for airlines to engage with customers, industry and more to incorporate new insights into their sustainability strategies.
Emergency facilities location and transportation routing
This PhD project will develop traffic management strategies and infrastructure allocation algorithms needed to improve emergency vehicle logistics.
Hybrid drone/truck last mile delivery planning for e-groceries
In this PhD project multiple trucks, each of which is equipped with drones, will via simulation deliver grocery purchases in parallel to customers.
Real-time crash risk estimation using machine learning
Using state-of-the-art machine learning algorithms, this study will use a novel modelling approach to accurately predict traffic crashes in real-time.
Building trust and collaboration among MaaS stakeholders
This PhD project will, at its conclusion, demonstrate how the roles and responsibilities of different stakeholders impact building a collaborative MaaS environment.
Implementation of sustainable transport policies
This PhD project explores cycle lane implementation from both a policymaker’s and user’s perspective, and flexible transport solutions for rural users.
Bus performance assessment using GTFS data
This PhD project will analyse archived GTFS data to identify significant inefficient road designs and exemplary designs for optimising performance
Optimising multimodal transport networks: Sharing road space
This research will focus on enhanced depiction of pedestrian and active mode interactions with vehicular traffic across a variety of road infrastructure scenarios.
Innovative road network pricing models
This PhD research aims to investigate new methods for managing urban congestion and reducing emissions through innovative transport pricing policies.
Role of heterogeneity in active travellers’ injury severity analysis
This PhD research will develop and apply advanced econometric models in estimating injury severity models for active travellers.