Evidence map›Paper›PMID 37050689›Full record

ArticleSensors (Basel, Switzerland)2023

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

Sicong Zhu, Hao Yue, Tatsuto Suzuki, Inhi Kim, Lei Yu, Qing Lan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sicong ZhuKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Haidian District, Beijing 100044, China.
Hao YueKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Haidian District, Beijing 100044, China.
Tatsuto SuzukiDepartment of Civil, Environ &Geomatic Engineering, Faculty of Engineering Science, London's Global University, London WC1E 6BT, UK.
Inhi KimCho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science & Technology (KAIST), Daejeon 34141, Republic of Korea.ORCID 0000-0001-9711-7587
Lei YuShandong Jiaotong University, No. 5001 Haitang Road, Changqing District, Jinan 250357, China.
Qing LanHebei Higher Institute of Transportation Infrastructure Research, Development Center for Digital and Intelligent Technology Application, Cangzhou 061001, China.

Funding

Cultivating Scientific and Technological Innovation Ability Scheme of University and Middle School Students in 2021 2021H090602Fundamental research funds for central universities of Beijing Jiaotong University 2021JBM017Hebei Province Research and Practice Project of Higher Education Reform 2020GJJG292
6 · The paper itself

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.

Indexed as

accident preventionadaptive Kalman filterchicaneUWB/INS

Identifiers

PMID37050689
PMCPMC10098515

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.