Evidence map›Paper›PMID 41530222›Full record

ArticleScientific reports2026

How do drivers react to crossing pedestrians at unsignalized roads? A contrast study for naturalistic driving and dummy pedestrian test.

Xiaorong Huang, Wenyan Zhang, Shulei Sun, Ziqiang Zhang, Jun Li, Bojiang Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
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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

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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.

Xiaorong HuangSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Wenyan ZhangSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Shulei SunProvincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Xihua University, Chengdu, 610039, China. shuleisun@foxmail.com.
Ziqiang ZhangSchool of Transportation Engineering, Xinjiang Vocational University of Technology, Kashi, 844004, China.
Jun LiSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Bojiang ChenSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.

Funding

Open Research Subject of Key Laboratory of Fluid and Power Machinery (Xihua University), Ministry of Education No.LTDL-2023010Open Research Subject of the Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province No.QCCK2023-003Sichuan Science and Technology Program 2023YFH0065
6 · The paper itself

Abstract

Safe street crossing relies on effective pedestrian-vehicle interaction; a delay in drivers’ recognition of pedestrian intentions can critically increase the risk of collision. Nevertheless, existing research lacks a contrasting exploration of driving behaviour at unsignalized streets for real pedestrians and pedestrian dummies. In this study, we develop a pedestrian crossing intention judgment system to quantify subjective driver assessments of pedestrian crossing intentions, focusing on how drivers adjust their behaviour to real pedestrians and pedestrian dummies. Specifically, we establish a naturalistic driving and pedestrian dummy experimental platform based on the campus unsignalized streets. Then, six different experimental scenarios of pedestrians crossing the street are designed. In addition, a subjective judgment of pedestrians’ crossing intentions (SJPCI) ranging from 0% to 100% is introduced to quantify drivers’ assessments of pedestrian crossing intentions. The proposed system is validated using 123 effective interactions extracted from 1923 natural driving events. Meanwhile, we designed the same dummy experiment based on the 123-group naturalistic driving scenarios. The results show that naturalistic driving experiments have relatively higher SJPCI values, gentler acceleration, and longer time-to-collision (TTC) compared with pedestrian dummy experiments. Effective communication with pedestrians allows drivers to better judge crossing intentions. Our finding is that real crossing pedestrians are significantly less able to have ambiguous intentions, which enhances understandability for drivers.

Indexed as

Driving behaviourPedestrian crossing intentionPedestrian dummyPedestrian–vehicle interaction

Identifiers

PMID41530222
PMCPMC12864838

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.