Evidence map›Paper›PMID 37837100›Full record

ArticleSensors (Basel, Switzerland)2023

Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment.

Inyoung Kim, Donghyo Kang, Harim Jeong, Soomok Lee, Ilsoo Yun

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

5 authors.

Inyoung KimDepartment of D.N.A. Convergence, Ajou University, Suwon 16499, Republic of Korea.ORCID 0000-0003-2532-1452
Donghyo KangDepartment of D.N.A. Convergence, Ajou University, Suwon 16499, Republic of Korea.
Harim JeongDepartment of Transportation System Engineering, Ajou University, Suwon 16499, Republic of Korea.ORCID 0000-0001-9128-3795
Soomok LeeDepartment of AI Mobility Engineering, Ajou University, Suwon 16499, Republic of Korea.ORCID 0000-0001-6633-997X
Ilsoo YunDepartment of Transportation System Engineering, Ajou University, Suwon 16499, Republic of Korea.ORCID 0000-0001-5618-7933

Funding

Korea Agency for Infrastructure Technology Advancement (KAIA) RS-2021-KA160637
6 · The paper itself

Abstract

With advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations. In accordance with these efforts, numerous institutions have developed single-scenario pools that reflect a variety of road and traffic characteristics and ADS performances. However, a single scenario has limitations in comprehensively evaluating the performance of complex ADS. Therefore, this study proposed a methodology that combines and transforms single scenarios into multiple scenarios. This aided in continuously evaluating the ADS performance over entire road segments and implemented this methodology in the simulations.

Indexed as

automated vehicledriving safetymulti-scenariosscenario accelerationsimulation

Identifiers

PMID37837100
PMCPMC10574863

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.