Evidence map›Paper›PMID 35808473›Full record

ArticleSensors (Basel, Switzerland)2022

Calculation of an Average Vehicle's Sideways Acceleration on Small Roundabouts.

Juraj Jagelčák, Jozef Gnap, Mariusz Kostrzewski, Ondrej Kuba, Jaroslav Frnda

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

5 authors.

Juraj JagelčákDepartment of Road and Urban Transport, Faculty of Operation and Economics of Transport and Communication, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0003-3759-137X
Jozef GnapDepartment of Road and Urban Transport, Faculty of Operation and Economics of Transport and Communication, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0002-0833-7850
Mariusz KostrzewskiDivision for Construction and Operation of Means of Transport, Faculty of Transport, Warsaw University of Technology, St. Koszykowa 75, 00-662 Warsaw, Poland.ORCID 0000-0001-5078-4067
Ondrej KubaDepartment of Road and Urban Transport, Faculty of Operation and Economics of Transport and Communication, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0003-1339-7740
Jaroslav FrndaDepartment of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0001-6065-3087

Funding

European Union ITMS 313011V334
6 · The paper itself

Abstract

The calculation of the average sideways acceleration, based on speed and angular velocity on small roundabouts for a vehicle of up to 3.5 t gross vehicle mass, is described in this paper. Calculations of the turning radius are derived from angular velocity and an automatic selection of events, based on the lateral acceleration of the coefficient of variation within a defined time window. The calculation of the turning radius based on speed and angular velocity yields almost identical results to the calculation of the turning radius by the three-point method using GPS coordinates, as described in previous research. This means that the calculation of the turning radius, derived from the speed of GNSS/INS dual-antenna sensor and gyroscope data, yields similar results to those from the computation of the turning radius derived from the coordinates of a GNSS/INS dual-antenna sensor. The research results can be used in the development of sensors to improve road safety.

Indexed as

angular speedlateral accelerationroad safetyrollroundaboutyaw

Identifiers

PMID35808473
PMCPMC9269795

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.