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’.
A profile of iMOVE PhD student Shihan Xu and her project, ‘Estimating freight origin-destination activity using video and data’.
A profile of iMOVE PhD student Samson Ting and his project, ‘Using a data-driven approach to improve intersection modelling’.
An overview of Xiaojie Lin’s completed PhD project, “Strengthening cybersecurity in vehicular networks”, plus expected outcomes and future work.
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.
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.
The objective of this PhD project is to analyse the relationship between telemetry and its impact on commercially sustainable transportation solutions/networks.
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.
In this PhD project multiple trucks, each of which is equipped with drones, will via simulation deliver grocery purchases in parallel to customers.
This PhD project will analyse archived GTFS data to identify significant inefficient road designs and exemplary designs for optimising performance
This research will focus on enhanced depiction of pedestrian and active mode interactions with vehicular traffic across a variety of road infrastructure scenarios.
This PhD research aims to investigate new methods for managing urban congestion and reducing emissions through innovative transport pricing policies.
In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.
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.