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Mathematical modelling and human factors perspectives on driver behaviour in relation to ADAS systems

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  • Full or part time
    Dr G Mavros
    Dr A Filtness
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Application details

Reference number: AAE-GM-1809
Start date: October 2018
Closing date: 30th June 2018

Supervisors

Primary supervisor: Dr Georgios Mavros
Secondary supervisor: Dr Ashleigh Filtness

Loughborough University

Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.
In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career.
Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Project Detail

This project will seek to understand real driver behaviour by combination of mathematical modelling and human factors research.

The outcome of the project will be a mathematical driver model that clearly maps driver competences, preferences and control strategies. The model will be validated under real-world circumstances with impaired drivers e.g. distraction, fatigue etc. To develop and validate the model, extensive field research on human factors will be carried out. This will help identify and weigh the safety critical failure points in driver behaviour, including the information used by drivers, as well as establish the response of drivers to realistic cues. The developed driver model will focus on the study of safety related ADAS (advanced driver-assist systems) where realistic driver behaviour is required to capture the interactions between the human driver and on-board control systems.
The project is funded through an EPSRC Doctoral Training Partnership at the Loughborough Design School (LDS) and the School of Aeronautical, Automotive, Chemical and Materials Engineering (AACME). The successful applicant will work within the vibrant Transport Safety Research Group and Vehicle Dynamics research groups in LDS and AACME at Loughborough University and benefit from an extensive range of facilities and experimental vehicles. They will also be given the opportunity to attend international conferences and/or workshops.

Find out more

Informal enquiries may be directed to Dr Ashleigh Filtness ([Email Address Removed]) and/or Dr George Mavros ([Email Address Removed]).

Entry requirements

• Have a first-class honours or good upper second class degree in mechanical/electrical/transport engineering or a related discipline (such as physics, mathematics or similar).
• Demonstrate knowledge or experience applicable to one or more of the following areas: mathematical modelling of dynamic systems, control systems, vehicle dynamics and control, data science, transport safety.
• Experience of application of Human Factors in Engineering or transport safety is highly desirable but not essential.
• Experience of programming in MATLAB/Simulink or other languages such as Python, C++ is desirable but not essential.

How to apply

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select

Please quote reference number: AAE-GM-1809

Funding Notes

The studentship provides a tax-free stipend of £14,777 per annum for 3.5 years plus tuition fees at the UK/EU rate. All applicants must meet the EPSRC eligibility criteria including the minimum UK residency requirement https://www.epsrc.ac.uk/skills/students/help/eligibility/



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