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Modeling collision avoidance maneuvers for micromobility vehicles.

Tianyou Li1, Jordanka Kovaceva1, Marco Dozza1

  • 1The Department of Mechanics and Maritime Sciences at Chalmers University of Technology, Sweden.

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|December 11, 2023
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Summary
This summary is machine-generated.

Novel micromobility vehicles (MMVs) like e-scooters present unique road safety challenges. This study found steering may be a better collision-avoidance strategy than braking for MMVs, with new models improving safety predictions.

Keywords:
Active safetyBicyclesCycling safetyE-scootersMicromobility vehicles

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Area of Science:

  • Road safety research
  • Vehicle dynamics
  • Human-machine interaction

Background:

  • Micromobility vehicles (MMVs) are increasingly popular, posing new road safety challenges.
  • Validated models are needed to describe MMV behavior for safety analysis.

Purpose of the Study:

  • Compare longitudinal and lateral control of bicycles and e-scooters in collision avoidance.
  • Develop quantitative models for predicting MMV trajectories during braking and steering maneuvers.

Main Methods:

  • Field trials comparing a bicycle (assisted/non-assisted) with large and light e-scooters.
  • Analysis of braking and steering performance in a rear-end collision avoidance scenario.

Main Results:

  • E-scooters showed less effective braking than bicycles; large e-scooters outperformed light ones.
  • No significant difference in steering performance; bicycles perceived as more stable and maneuverable.
  • Proposed arctangent kinematic models outperformed linear models in accuracy.

Conclusions:

  • MMVs exhibit distinct maneuverability from bicycles and among themselves.
  • Steering may be a more effective collision-avoidance strategy than braking for MMVs.
  • Advanced kinematic models can enhance MMV safety but require validation.