Travel times on motorways can differ depending on the lane a driver chooses to drive on when traffic is not well-balanced over the available lanes. This project will develop a first of its kind lane-specific motorway traffic state control system to improve traffic flow efficiency. It will develop (1) a lane-specific traffic state estimation and control model, (2) a driver interface to optimise the compliance of the driver to lane-specific advice and (3) a vehicle positioning system at the lane level. The use of traffic flow simulation models, a driving simulator and an instrumented vehicle provide a realistic research environment, ultimately leading to a live prototype implementation in real traffic.
The PhD researcher on the project “Persuasive Lane Use Advice Provision in relation to Driver Workload and User Acceptance” will investigate the relationship between characteristics of the provided lane use advice and driver workload (e.g., different modalities). Besides the influence on driver workload, the researcher will investigate the (determinants of) user acceptance in relation to the lane use advice. Finally, the researcher will gain empirically underpinned insight into direct and indirect behavioural adaptation effects and the relationship between these effects and traffic safety. Besides her/his own research, the PhD student is expected to assist in teaching and other scientific projects in the department, for in total not more than 25% of the time.
Description
You hold an MSc degree in a transport-related discipline and have a good psychological, technical and/or engineering background. You are motivated to pursue a PhD. Programming skills (Matlab, Java) are essential. Good knowledge of English (reading, writing, listening, speaking) is also essential.
Nr of positions available : 1
Research Fields
Technology
Career Stage
Early stage researcher or 0-4 yrs (Post graduate)
Experienced researcher or 4-10 yrs (Post-Doc)
More Experienced researcher or >10 yrs (Senior)
Research Profiles
Not defined
Benefits
0 - 2717
Benefits
The TU Delft offers an attractive benefits package, including a flexible work week and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.phd.tudelft.nl for more information.
For more information about this position, please contact Dr. Raymond Hoogendoorn, phone: +31 (0)15-2784981, e-mail: r.g.hoogendoorn@tudelft.nl. To apply, please e-mail 1) your letter of application (1 page), 2) your CV, including contact details of 1 or two references (e.g., previous supervisors), 3) a list of grades. Please e-mail your application by 1 March 2015 to Dr. Hoogendoorn, Recruitment-CiTG@tudelft.nl.
When applying for this position, please refer to vacancy number CITG15-05.
Requirements
| Technology |
| ENGLISH |
| Good |
| Technology |
| University Graduate |
| 1 |