Individual mobility between Swedish and US transport research institutes within AI

Purpose and goal:

The project aims to obtain knowledge in data analysis and methods for big data and AI by exploring, developing, and creating ways of implementing data collection and analysis. Expected results and effects:

The project is expected to increase competence in AI and big data for the individuals involved. Since AstaZero and VTTI own and operate test tracks, each with different focus areas and expertise, there is great potential for skills exchange between the organizations. In addition to skills development, the project is expected to result in further joint research projects.

Approach and implementation:

The project involves using advanced data analysis methods (statistical, machine learning, machine vision, automated annotation) to gain insights from vehicle data. Topics of interest in AI and big data related to traffic and transportation include the use of machine learning models for the tasks of classification, regression, predictive clustering, use of techniques such as artificial neural networks, multivariate regression tree analysis, and support vector machines.