Postdoc on Implications of mixed traffic on traffic efficiency and safety

Research / Academic

This postdoc position is part of the SAMEN project funded by the Netherlands Organisation for Scientific Research (NWO). The project ‘Safe and efficient operation of AutoMated and human drivEN vehicles in mixed traffic (SAMEN)’ is open for 2 PhD candidate positions and 1 postdoc.   

The gradual deployment of Automated Vehicles (AV) in traffic will result in a transition period, in which vehicles with various levels of automation and Human Driven Vehicles (HDV) co-exist. As a consequence, new types of interactions will emerge between vehicles at different levels of automation. Proper understanding of how human drivers will respond to AVs, and how AVs could interact with HDVs rather than responding to them is urgent but lacking. This lack of understanding may result in unsafe and inefficient traffic situations. The unique aspect and aim of the proposed project is its focus on understanding and modelling the interactions between human-driven and automated vehicles based on empirical data. In this project behavioural theories and models will be developed and validated for the interactions between AVs and HDVs using a hybrid approach for data collection. We will underpin the behavioural theory using empirical data that we will collect from field tests using AVs. We will use advanced interactive driving simulators to study the interactions between AVs and HDVs. We will scale up the resulting interaction models in a dedicated traffic flow simulation platform to evaluate the implications of mixed traffic on traffic flow and safety.

In this project several industrial partners, a vehicle manufacturer, road authorities, and knowledge institutes are involved.

The postdoc position is about the implications of (connected/ unconnected) automated driving in mixed traffic on traffic efficiency and safety. The main objectives of this postdoc position are to implement the developed behavioural models in the project in existing open source microscopic simulation platform and assess the implications of mixed traffic on traffic flow efficiency and safety.

As a postdoc you will closely work with the two PhD researchers in this project by implementing the models they develop in the open source microscopic simulation platform. You will as well assist in their supervision.

The duration of the postdoc position will be for two and a half years (30 months).


Requirements for the Postdoc position:

Educational background: PhD in Traffic engineering with experience in traffic simulation;

Skills required: good analytical skills, experience with microscopic traffic simulation, excellent programming skills (python, C++, Java), good communication skills, open minded, team player, and excellent English level (speaking, reading, and writing).

Salary Benefits:

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

Work Hours:

38 hours per week


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