MicroTOX

Background

In Europe, 25% of all injured road users are micromobility users. In addition, 20-26% of all micromobility users seeking medical care after a crash are intoxicated. In Sweden, 10-27% of all cyclists who died in the last 10 year were intoxicated. To discourage impaired riding, current countermeasures include bans on rental e-scooters at night during weekends (e.g., 22:00-05:00 on Fridays and Saturdays in Göteborg).

Purpose and goals

The main goal of this project is to develop intelligent technology and communication systems to help prevent intoxicated riding for cyclists and e-scooterists. (For instance, recognizing the “signature” of alcohol from e-scooter kinematics to limit their speed accordingly.)

Method

This project will identify intoxicated riding from several sensor technologies to promote the development of classifiers, i.e., algorithms that can run real-time on portable systems, vehicles, and the infrastructure to identify intoxicated riding in traffic. These algorithms may be used for active safety systems, i.e., intelligent technology and communication systems that may act (e.g., warn an intoxicated rider) before a situation becomes too critical to prevent crashes.

The core of this project is the analysis of data from a large experiment where intoxicated riders will be monitored with state-of-art motion analysis technology. The data from the experiment will be the ground truth for the development of intelligent applications from different technologies.

How will the results be used?

Within the project we will implement and verify in the field two prototypical systems able to detect impaired riding. One system will be infrastructure-based (Viscando) and one will be in-vehicle based (Voi). Within the project the systems will develop from TRL3 to TRL5. We will also contribute to open innovation by sharing data and algorithms leveraging our academic and industrial networks.