Naturalistic micromobility data: opportunities and threats
Other conference contribution, 2024
Within the MicroVision and e-SAFER projects, naturalistic data from e-scooter rental services have been used to investigate crash causation and model rider behavior to improve advanced driving assistance systems, support automated driving functions, and inform Euro NCAP protocols. These projects unveiled the peculiarities and prevalence of leisure riding on e-scooters and created some of the basis for sharing micromobility data and open behavioral models. If shared, the data and models from e-SAFER may serve new analyses and promote new countermeasures based on education, policymaking, and infrastructure design. However, data sharing is a double-edged sword where issues such as ethics, privacy, and security need to find a compromise with commercial interests, while the integrity of the data and analysis results must be warranted.
Micromobility
data sharing
road user interaction
naturalistic data
AI
video processing
road user behaviour
Author
Marco Dozza
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Rahul Rajendra Pai
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Alexander Rasch
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Zurich, Switzerland,
e-SAFER - Computational models for a safe interaction between (automated) vehicles and e-scooters
VINNOVA (2022-01641), 2022-11-01 -- 2024-10-31.
MicroVision - Development, Testing, and Demonstration of a Real-Time Support System for Electric Vehicle Riders
VINNOVA (2023-01047), 2023-09-01 -- 2025-08-31.
Safe integration of micro-mobility in the transport system - SIMT
Swedish Transport Administration (2022/32014), 2022-11-01 -- 2025-10-31.
MicroITS - Computational models for a safe integration of micromobility in the transport system
Chalmers (2022-0045), 2023-01-01 -- 2024-12-31.
Areas of Advance
Transport
Subject Categories
Transport Systems and Logistics