TU Delft is recruiting four researchers for the project “From Individual Automated Vehicles to Cooperative Traffic Management". The project is to predict the benefits of automated driving through on-road human behaviour assessment and traffic flow models. This project will investigate highly automated driving with 1) individual automated vehicles, 2) cooperative platoons, and 3) cooperative traffic management through infrastructure communication.
The PhD candidate will conduct an on-road study of human interaction with automation (together with Vacancy 1). He/she will use the collected real world human behaviour data to develop computer models capturing mixed traffic with automated and manually driven vehicles. Microscopic traffic flow models with large numbers of interacting vehicles will be developed where automated vehicles will be described with probabilistic models of use and disuse of automation, and of speed, distance and lane selection in various traffic conditions. The mixed traffic models will be used to investigate and predict effects of highly automated driving on traffic flow characteristics (capacity, fundamental diagram, flow stability, shockwave propagation, road capacity and fuel economy for varying penetration levels).
Description
Applicants should have an academic Master degree in Civil Engineering or comparable studies. In particular, we will consider candidates with experience in traffic modelling, driver modelling, traffic management, and safety assessment.
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
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. 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 Riender Happee, phone: +31 (0)15-2783213, e-mail: R.Happee@tudelft.nl. To apply, please e-mail a detailed CV including your interest, experience, courses and grades at the Master and Bachelor level, publications, and references to be contacted. Please e-mail your application by 15 November 2014 to Nancy Kouters, n.kouters@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME14-47.
Benefits
0 - 2664
Requirements
| Technology |
| ENGLISH |
| Good |
| Technology |
| University Graduate |
| 1 |