Intelligent Transport Systems
This research theme covers topics including the use of technology and information systems, design and assessment of future ITS technology, simulation and cost-benefit analysis. It has a strong focus on human factors aspects of technology.
We use the Safe System framework to study the road transport system holistically. Our three research axes are Connected Automated Vehicles (CAV), Human Machine Interfaces (HMI) and Behavioural Analysis. We capitalise on research progress in Internet of Things (IoT), automated/connected cars, Deep learning (AI), person’s data acquisition (Quantified Self) and ubiquitous computing to reduce behavioral uncertainties in transport.
Team members have expertise in computer science, civil engineering, psychology, sociology, mathematics and statistics.
This theme benefits from access to high quality research facilities including an advanced driving simulator, research vehicle, a range of analysis software and in-vehicle sensors. The team collaborates with prestigious road safety centres including IFSTTAR (LIVIC, LPC) and UMTRI .
Samantha (Shin Huey) Chen (complete)
Thesis title: Mining patterns and factors contributing to crash severity on road curves
Tiago Camacho (complete)
Thesis title: Technology-Mediated Tools for Shaping Experience in Urban Commuter Trains
Sepehr Ghasemi Dehkordi
Thesis title: An optimal green and safe driving assistance model
Dr Sébastien Demmel (complete)
Thesis title: Building an augmented map for road risk assessment
Hasitha Dilshani Dabare Gamage
Thesis title: Adaptive Traffic Eco-Speed Control for Signalised Arterials using Reinforcement Learning
Dr Grégoire Larue (complete)
Thesis title: Predicting effects of monotony on driver's vigilance
Husnain Malik (complete)
Thesis title: An assessment system for evaluation of driving competencies
Thesis title: Video Based Detection of Normal and Anomalous Behaviour of Individuals
Mohammad Naim Rastgoo
Thesis title: Automatic Detection of Car Driver’s Stress Levels Using Multimodal Sensors and Context Data
Teodora Stefanova (complete)
Thesis title: Factors shaping pedestrians' unsafe behaviour at actively protected level crossings
Thesis title: Design and development of an in-vehicle human machine interface to improve fuel efficiency and road safety
Thesis title: Using peers and Information and Communication Technology in improving road safety for young drivers
Recent projects (in order of commencement date):
Understanding the impact of autonomous vehicles on behaviour and interactions (2016 - in progress)
Improving taxi driver safety with a smartphone feedback system: a pilot study (2015 - in progress)
Integrated facility for recording driver and road user behaviour (2013 - in progress)