Control mode switching strategy for ACC based on intuitionistic fuzzy set multi-attribute decision making method

Issue title: Some highlights on fuzzy systems and data mining

Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu

Article type: Research Article

Authors: Gao, Zhenhai^a | Wang, Jun^{a; b} | Hu, Hongyu^{a; *} | Sun, Yiteng^a

Affiliations: [a] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China | [b] SAIC Motor Technical Center, Shanghai, China

Correspondence: [*] Corresponding author. Hongyu Hu, State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China. Tel./Fax: +86 0431 85095090; E-mail: huhongyu@jlu.edu.cn.

Abstract: The control mode switching strategy is a crucial part of the Adaptive Cruise Control (ACC) decision algorithm. A novel switching strategy of control mode is proposed, which is designed using an intuitionistic fuzzy set, multi-attribute decision making method (IFSMADM). At first, three modes of cruising, following and approaching are considered for the control modes of the decision algorithm for the ACC. Then, safety performance, comfort performance and economy performance are treated as the attributes needed to assess alternative sets. Furthermore, the linear weighted average method of IFSMADM is used to achieve control mode switching. Finally, the proposed algorithm is verified based on actual road test data.

Keywords: Adaptive Cruise Control (ACC), switching strategy, intuitionistic fuzzy set, multi-attribute decision making

DOI: 10.3233/JIFS-169181

Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 2967-2974, 2016