Title: A fuzzy-based system for decision of driver mental status and its performance evaluation

Authors: Yi Liu

Addresses: Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan

Abstract: For safe driving and decreasing the risk of traffic accidents, it is important to control the driver's mental status. In this paper, an intelligent system is implemented based on Fuzzy Logic (FL) for deciding Driver Mental Status (DMS). In order to investigate the effects of the considered parameters we implement two models: DMS Model 1 (DMSM1) and DMS Model 2 (DMSM2). The input parameters of DMSM1 include Driver Anxiety Level (DAL), Traffic Situation (TS), Driving Operating Time (DOT), while for DMSM2 we add a new parameter called Drive Distress Situation (DDS). For both models, the output parameter is DMS. We compared the simulation results of DMSM1 and DMSM2. The evaluation results show that DMSM2 is more complex because the rule base is bigger than DMSM1, but it has a better decision of DMS value.

Keywords: safe driving; driver mental status; fuzzy logic; intelligent algorithms; VANETs.

DOI: 10.1504/IJGUC.2026.152700

International Journal of Grid and Utility Computing, 2026 Vol.17 No.2, pp.195 - 203

Received: 17 Aug 2024
Accepted: 05 Sep 2024
Published online: 07 Apr 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article