Shihan Xu – iMOVE PhD student
A profile of iMOVE PhD student Shihan Xu and her project, ‘Estimating freight origin-destination activity using video and data’.
Samson Ting – iMOVE PhD student
A profile of iMOVE PhD student Samson Ting and his project, ‘Using a data-driven approach to improve intersection modelling’.
How cybersecurity safe is your vehicle?
An overview of Xiaojie Lin’s completed PhD project, “Strengthening cybersecurity in vehicular networks”, plus expected outcomes and future work.
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.
Misbehaviour detection in C-ITS
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
Autonomous vehicles in highly crowded pedestrian environments
This PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.
Secure supervisory architecture for smart & autonomous vehicles
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.
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.
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.
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.
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.
Empirical modelling of traffic states and route choice behaviour
In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.
Advanced driver state monitoring system
This PhD project aims to develop a system with a data-driven human driver behaviour model that can help detect the attention level of drivers.