Fuzzy inference systems for discretionary lane changing decisions: Model improvements and research challenges

The lane changing decision model (LCDM) is a critical component in semi- and fully-automated driving systems. Recent research has found that the fuzzy inference system (FIS) is a promising approach to implementing LCDMs. To improve the FIS’s performance, this research reviewed the challenges in the...

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Vydané v:	International Journal of Transportation Science and Technology Ročník 17; s. 312 - 327
Hlavní autori:	Yahyazadeh Rineh, Ehsan, Cheu, Ruey Long
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2025 KeAi Communications Co., Ltd
Predmet:	Fuzzy inference system (FIS) Gap acceptance Gene expression programming Lane change Next generation simulation (NGSIM) Lane change Gap acceptance Fuzzy inference system (FIS) Next generation simulation (NGSIM) Gene expression programming
ISSN:	2046-0430
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