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Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessmentoa mark
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Publication Year
2023-10-01
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Sensors, Vol.23
Keyword
automated vehicledriving safetymulti-scenariosscenario accelerationsimulation
Mesh Keyword
Automated driving systemsAutomated vehiclesDriving safetyDriving system performanceMulti scenariosPerformanceRoad segmentsScenario accelerationSimulationTraffic characteristics
All Science Classification Codes (ASJC)
Analytical ChemistryInformation SystemsAtomic and Molecular Physics, and OpticsBiochemistryInstrumentationElectrical and Electronic Engineering
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.
ISSN
1424-8220
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33723
DOI
https://doi.org/10.3390/s23198271
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Type
Article
Funding
This research was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure, and Transport (Grant No. RS-2021-KA160637).
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Lee, Soo Mok Image
Lee, Soo Mok이수목
Department of Mobility Engineering
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