TY - JOUR
T1 - Architecture design of automated driving system based on RFLP method
AU - Dong, Mengru
AU - Wang, Guoxin
AU - Lu, Jinzhi
AU - Ma, Junda
AU - Song, Xing
AU - Yan, Yan
N1 - Publisher Copyright:
© 2026, Chinese Institute of Electronics. All rights reserved.
PY - 2026/7/30
Y1 - 2026/7/30
N2 - To address the problems of the lack of a global perspective, difficulties in knowledge transfer and reuse, and the inability of existing modeling methodologies that rely on a single modeling language to meet the requirement that multi-level collaboration and multi-disciplinary modeling in automated driving system design, a requirement-function-logic-physics-based automated driving system modeling methodology is proposed. A multi-level modeling process covering requirement analysis, functional analysis, logical architecture, and physical architecture design is built. A hierarchical mapping relationship is established to facilitate the layer-by-layer transfer and traceability of requirements to system architecture, supporting subsequent model-based system verification. Modeling verification is conducted on the automated driving systems, and the results showed that the proposed methodology effectively improved the normalization, consistency, and traceability of modeling, providing methodological support for the design of complex automated driving systems.
AB - To address the problems of the lack of a global perspective, difficulties in knowledge transfer and reuse, and the inability of existing modeling methodologies that rely on a single modeling language to meet the requirement that multi-level collaboration and multi-disciplinary modeling in automated driving system design, a requirement-function-logic-physics-based automated driving system modeling methodology is proposed. A multi-level modeling process covering requirement analysis, functional analysis, logical architecture, and physical architecture design is built. A hierarchical mapping relationship is established to facilitate the layer-by-layer transfer and traceability of requirements to system architecture, supporting subsequent model-based system verification. Modeling verification is conducted on the automated driving systems, and the results showed that the proposed methodology effectively improved the normalization, consistency, and traceability of modeling, providing methodological support for the design of complex automated driving systems.
KW - automated driving system
KW - model-based systems engineering (MBSE)
KW - Modeling language
KW - modeling method
KW - requirement-function-logic-physics (RFLP)
UR - https://www.scopus.com/pages/publications/105047235917
U2 - 10.12305/j.issn.1001-506X.2026.08.16
DO - 10.12305/j.issn.1001-506X.2026.08.16
M3 - Article
AN - SCOPUS:105047235917
SN - 1001-506X
VL - 48
SP - 2680
EP - 2700
JO - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
IS - 8
ER -