Thesis Work 30 hp - Driver Modelling and Analysis

Introduction:

A master thesis project at Scania is an excellent opportunity to get to know the company and build valuable connections for your future career. Many of our current employees started their journey at Scania through their thesis work. Join us in developing the next generation of intelligent and sustainable transport solutions!

Objective:

The aim of this thesis project is to develop a new driver support framework that classifies and models real-world driver behaviour using operational vehicle data. The outcome will contribute to the next generation of adaptive, data-driven driver assistance systems.

Background:

Driver assistance systems are often built on rule-based logic, where human-defined thresholds and conditions determine how the system reacts. However, this approach limits adaptability and fails to capture the complexity of real-world driving behaviors. At Scania, we are exploring a data-driven alternative, where insights derived from large-scale operational data can be used to model and support real driver behavior more effectively.

Assignment Description:

This master thesis project will focus on using real-world data collected from Scania trucks in daily operation to:

· Mine and analyze driver data to extract relevant behavioral features.

· Develop a performance metric that can classify drivers based on real driving data.

· Cluster drivers into different classes based on performance characteristics and behavior.

· Train AI models representing each driver class, capable of predicting or replicating driver actions in given traffic or operational situations.

· Evaluate the potential of these models to be deployed onboard the truck as part of a real-time driver performance evaluation and support system.

Expected Outcome:

The project will deliver:

· A data-driven driver performance metric for classification and evaluation.

· One or several AI-based driver models representing distinct driver types.

· A conceptual framework for integrating these models into a real-time onboard driver support system.

Education / Program / Specialization:

We are looking for 1-2 motivated master’s students with backgrounds in:

· Data Science, Machine Learning and Statistical Modelling.

· Strong skills in Python; skills in MATLAB are a bonus.

· Experience with data mining and predictive modelling.

· Interest in vehicle and powertrain development is a plus.

Location:

The work will be performed at Scania’s R&D in Södertälje, in collaboration with experienced engineers and researchers.

Application:

Your application should include:

· Curriculum Vitae (CV)

· Personal motivation letter

· University transcript of records

Contact persons and supervisors:

The supervisor for this master thesis project is Lukas Öhlund, PhD.

Phone: +46 700813648

Email: lukas.ohlund@scania.com

A background check may be conducted for this position.

We process applications continuously and may close the recruitment earlier than the stated date