Modelling Braking and Steering Avoidance Maneuvers for Micromobility
Other conference contribution, 2023

Recent advancements in technology make it possible for advanced driving assistance systems (ADAS) to recognize micromobility vehicles (MMV) and include them in their threat assessment. However, today we lack the rider-vehicle models which are of great importance in understanding the interconnection between the MMV and its rider. These models may help ADAS predict micromobility kinematics and provide accurate threat assessments, especially when avoidance maneuvers from micromobility must be considered. In this study, we modelled avoidance maneuvers from micromobility vehicles to support ADAS threat assessment. We compared traditional bicycles (with and without assistance) with e-scooters (a small personal scooter and a large scooter) in a field test, where 36 participants avoided a stationary obstacle by either braking or steering. Kinematic data such as longitudinal and latera speed, acceleration, jerk and steering angle and rate were collected and analyzed.

E-scooters

Vulnerable Road Users

ADAS

Micromobility

Active Safety

Author

Tianyou Li

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety

Fredrik Bruzelius

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

Marco Dozza

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety

The Evolving scholar

2667-2812 (eISSN)

Vol. 2023 5th edition

Bicycle & Motorcycle Dynamics 2023
Delft, Netherlands,

DICE - Driver interaction with cyclists and e-scooterists at intersections

Toyota Motor Europe, 2021-08-15 -- 2025-08-14.

E-Model

Chalmers, 2022-09-01 -- 2025-08-31.

Areas of Advance

Transport

Subject Categories

Vehicle Engineering

DOI

10.24404/640f2c96371d6d7969826057

More information

Latest update

7/5/2024 7