Secure Data Provenance in the Internet of Vehicles
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
Chintan Advani’s PhD topic is ‘Empirical modelling of traffic states and route choice behaviour’. This profile outlines his work, lessons learnt, and more.
A profile of Tariq Munir, a PhD student at Swinburne University of Technology, including information on his thesis topic, ‘Innovative road network pricing models’.
This PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.
The focus of this PhD project is the security technologies that would enable authorities to govern, protect, and regulate SAVs access to the public road network.
A profile on Xiaojie Lin and her PhD, with background and reflection on her project, ‘Strengthening cybersecurity in vehicular networks’.
‘Risks in blockchain-integrated container shipping systems’ is the title of Son Nguyen’s PhD project. This profile outlines his work, & thoughts of his supervisor.
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.
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 objective of this PhD project is to analyse the relationship between telemetry and its impact on commercially sustainable transportation solutions/networks.
Mehrangiz Shahbakhsh tells us about her PhD journey, and her project ‘Seafarer training for autonomous shipping: Needs & challenges’.
Find out more about RMIT student Kun Zou, a participant in iMOVE’s Industry PhD Program. His research project: Advanced driver state monitoring system.
This PhD project proposes a methodology to estimate real-time queue lengths by using high-resolution detector data and signal timing data.
This PhD project aims to help parcel delivery companies thrive in a competitive environment with a strategic approach to last mile network, & fleet composition.
This PhD project explores ways for airlines to engage with customers, industry and more to incorporate new insights into their sustainability strategies.