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A UWB/INS Trajectory Tracking System Application in a Cycling Safety Study

Authors :
Sicong Zhu
Hao Yue
Tatsuto Suzuki
Inhi Kim
Lei Yu
Qing Lan
Source :
Sensors, Vol 23, Iss 7, p 3629 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

This paper focuses on the safety issue for cyclists and pedestrians at unsignalized intersections. The cycling speed needs to be calmed when approaching the intersection. This study proposes and deploys an integrated portable ultra-wideband/inertial navigation system (UWB/INS) to extract cycling trajectories for a cycling safety study. The system is based on open-source hardware and delivers an open-source code for an adaptive Kalman filter to enhance positioning precision for data quality assurance at an outdoor experimental site. The results demonstrate that the system can deliver reliable trajectories for low-mobility objects. To mitigate accident risk and severity, varied cycling speed calming measures are tested at an experimental site. Based on the trajectory data, the statistical features of cycling velocities are evaluated and compared. A new proposed geometric design is found to be most effective when compared with conventional traffic signs.

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.9e3e062980fa4cc5a4418f2e1f9a860e
Document Type :
article
Full Text :
https://doi.org/10.3390/s23073629