SUPR
e-SAFER
Dnr:

NAISS 2023/5-71

Type:

NAISS Medium Compute

Principal Investigator:

Marco Dozza

Affiliation:

Chalmers tekniska högskola

Start Date:

2023-02-23

End Date:

2024-03-01

Primary Classification:

50999: Other Social Sciences not elsewhere specified

Secondary Classification:

21199: Other Engineering and Technologies not elsewhere specified

Allocation

Abstract

In this project, we will investigate e-scooters as the present use-case for micromobility to understand this new trend in transportation, its safety implications, and the necessary countermeasures to help motorized vehicles safely interact with e-scooterists and new micromobility vehicles yet-to-come. The main assets for the modelling will be data from test-track and naturalistic data that we will collect in the project. We will use the test-track data to create the models and the naturalistic data to verify the models. (The naturalistic data includes Terabytes of data that are to be processed for object classification and data anonymization.)