Fine Time Measurement-Based Safety System for Parent-Child Cycling

Traffic safety is a growing topic that critically impacts urban mobility and public health, demanding innovative and practical solutions to ensure road safety. As vulnerable road users, cyclists face significant road hazards due to exposure and limited physical protection compared to motorized vehicles. This report addresses the safety challenges parents face cycling with their children using electrically assisted bicycles. By utilizing the Fine Time Measurement (FTM) protocol for distance estimation between two microcontrollers, the system enables live monitoring in traffic. The system also incorporates a Kalman filter and tolerance for system bias during measuring. Testing indicated superior accuracy over traditional localization methods in static conditions, though challenges persist in dynamic conditions.

Publication Details

Journal
Hogskolan Ihalmstad (Halmstad University)
Published
2025-01-01
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
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article

Fine Time Measurement-Based Safety System for Parent-Child Cycling

Hogskolan Ihalmstad (Halmstad University)
IoT and GPS-based Vehicle Safety Systems
article

Fine Time Measurement-Based Safety System for Parent-Child Cycling

article en

Abstract

Traffic safety is a growing topic that critically impacts urban mobility and public health, demanding innovative and practical solutions to ensure road safety. As vulnerable road users, cyclists face significant road hazards due to exposure and limited physical protection compared to motorized vehicles. This report addresses the safety challenges parents face cycling with their children using electrically assisted bicycles. By utilizing the Fine Time Measurement (FTM) protocol for distance estimation between two microcontrollers, the system enables live monitoring in traffic. The system also incorporates a Kalman filter and tolerance for system bias during measuring. Testing indicated superior accuracy over traditional localization methods in static conditions, though challenges persist in dynamic conditions.

Hogskolan Ihalmstad (Halmstad University)
Sustainable cities and communities
Openalex Percentile: Top 53%
IoT and GPS-based Vehicle Safety Systems
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Fine Time Measurement-Based Safety System for Parent-Child Cycling · Hogskolan Ihalmstad (Halmstad University) (2025) | TGRS Research Map | TGRS