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Traffic simulation of self-driving trucks

The aim of the thesis is to explore potential traffic implications of self-driving trucks in the Swedish transport system.




This aim of the thesis is to explore potential traffic implications of self-driving trucks in the Swedish transport system. Some of the task in the project are:

• Adjust existing traffic behaviour models to represent driving behaviour of self-driving trucks

• Create realistic traffic simulation scenarios with self-driving trucks on highways

• Perform microsimulations of a highway stretch self-driving trucks and evaluate traffic impacts on road capacity, traffic flow, etc.


Development of driving automation technology is fast, and within a few months the first self-driving vehicles for freight transport are expected to operate on public roads in Sweden.


Removing the driver from the truck fundamentally changes many of the current practices for road freight operations. One example is that without a driver, the driving time is cheaper. This will likely lead to more truck traffic in the road network. Another potential effect of this is that self-driving, long-distance trucks might drive much slower than the speed limits in order to reduce aerodynamic drag and thereby save energy. Furthermore, without drivers present in the trucks the potential for performing night-time driving is higher. Self-driving trucks could have profound traffic and road capacity impacts and needs to be accounted for in infrastructure planning and transport policy. However, the potential traffic implications of slow self-driving trucks are so far not studied.


We seek one student or a team of two students with a transport background and strong interest in (traffic) modeling, simulation and analysis. It is qualifying if the student(s) have previous experience in the traffic modeling tool SUMO. The thesis requires an interdisciplinary approach and a successful self-organization in order to scope, organize and drive the work.

The thesis work is hosted by Integrated Transport Research Lab (ITRL) at KTH. The thesis is part of an ongoing research project about impacts of driverless vehicles in Sweden performed by Trafikverket, ITRL and VTI. Depending on timing and results, you may also have the opportunity to write a scientific paper based on your work.

Your application, including CV and a short personal letter, is welcome to Albin Engholm via email: aengholm@kth.se. Selection of thesis workers will be performed continuously. The starting date for the thesis is flexible but the thesis work should be finalized before 2020.


Louise Olsson (to be found under "Kontakta oss").

Datum 2019-06-17