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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Bibliographic Details

Published in:	International Journal of Transportation Science and Technology Vol. 17; pp. 312 - 327
Main Authors:	Yahyazadeh Rineh, Ehsan, Cheu, Ruey Long
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2025 KeAi Communications Co., Ltd
Subjects:	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
Online Access:	Get full text
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