Master Thesis - Outlier detection for Volvo Trucks Safety Scoring

Key Skills

Aartificial intelligence, Big Data Technology, Linux Operating system, Python Programming, R Programming

Job Description

Goal of the thesis

Investigate possibility of using advance outlier detection on Safety Driving assessment and traffic context assessment. Appling the investigated techniques to Volvo test fleet and produce a case study. This objective can be divided in the following sub-objectives:

• Identify the best date set coming from the vehicle that can be used to assess safety driving and traffic context.
• Prepare a literature review on the state-of-the-art of Outlier detection.
• Identify the best technique to apply to this context.
• Do a case study on a Volvo test fleet to demonstrate the results.

Desirable expertise

• Signal and systems
• Statistical Analysis
• Artificial Intelligence
• Linux, Python, C, R

Kick-off date

The thesis can get started immediately.

Additional info

The scope can be flexible and adapted to 1-2 students, depending on how many students you are and how much time you have for your thesis.

Some reference links:

Accident Research Team Safety Report - 2017

Accident Research Team Safety Report – 2022

A critical overview of outlier detection methods

A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams

Outlier Detection: Methods, Models, and Classification

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Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities.

Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.