Evidence map›Paper›PMID 40823420›Full record

ArticleFrontiers in psychology2025

Investigating the impact of different road scenarios on the induction intensity of motion sickness in electric vehicle passengers.

Bangbei Tang, Bingjie Luo, Yongfeng Ding, Qiuyang Tang, Yingzhang Wu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. 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.

Bangbei TangSchool of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing, China.
Bingjie LuoSchool of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing, China.
Yongfeng DingSchool of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing, China.
Qiuyang TangChina Automotive Engineering Research Institute Co, Ltd., Chongqing, China.
Yingzhang WuSchool of Vehicle and Mobility, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With the increasing prevalence of electric vehicles, motion sickness has emerged as a critical factor impairing passenger comfort. Current studies relying on simulated driving face limitations in replicating real-road conditions. Methods: We conducted real-vehicle experiments across six roadway scenarios: one-way left turn (R1), linear acceleration/deceleration (R2), sudden arrest-activation (R3), uphill S-curve (R4), downhill S-curve (R5), and one-way right turn (R6). A synchronized system (BioRadio + vehicle gyroscopes) captured subjective ratings from participants ( Results: Significant changes occurred in mean values of Discussion: The logistic regression model achieved 81.25% accuracy in predicting motion sickness states. This study provides empirical evidence for optimizing vehicle motion control and road design to enhance passenger comfort.

Indexed as

motion sickness severityphysiological signalspredictive modelreal-vehicle dynamics measurementsroad characteristics

Identifiers

PMID40823420
PMCPMC12355610

What OpenQuestion holds

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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.