In this paper, we propose the predictor of the Emergency Braking System (EBS), which adapts to driver’s intentions. For design of such system, we mainly made fuzzy predictor and fuzzy Driver Intention Reader (DIR), using fuzzy algorithm. And, we simulated several typical situations to evaluate the system performance. As a result, we have confirmed the functionality and reliability of the system logics. | Journal of Automation and Control Engineering Vol. 1, No. 3, September 2013 Design for the Predictor of the Emergency Braking System Based on Fuzzy Algorithm J. H. Li and H. M. Kim Department of Mechanical Engineering, Sungkyunkwan University, 300 Cheoncheon-dong, Jangan-gu, Suwon, Gyeonggi-do 440-746, Korea Email: jenhu27@, kimhm@ Abstract—Currently, many vehicle manufacturers and academic researchers have been focusing on researching and developing the active safety systems to reduce collisions between the eco car and front obstacles based on the radar technologies. Therefore, they actually have limitations that whose systems are lack of considering about driver’s intentions. In this paper, we propose the predictor of the Emergency Braking System (EBS), which adapts to driver’s intentions. For design of such system, we mainly made fuzzy predictor and fuzzy Driver Intention Reader (DIR), using fuzzy algorithm. And, we simulated several typical situations to evaluate the system performance. As a result, we have confirmed the functionality and reliability of the system logics. Figure 1. Predictor of emergency braking system design concept II. Index Terms—EBS, fuzzy predictor, fuzzy driver intention reader, active safety system, critical distance calculator I. SYSTEM MODEL Fig. 2 shows the full vehicle model we have chosen whose parameters were set based on a real vehicle. INTRODUCTION Nowadays, the amount of vehicles is increasing consistently and the safety drive environment has become a big issue in the world. At the same time, researches of the integrated vehicle safety control systems have been ongoing for protecting drivers and pedestrian based on sensor fusion technology [1]. For designing the predictor of the emergency braking system as an active safety system, we decided to apply a long-range radar sensor launched by Bosch to measure the distance between the eco car and front obstacles after comparison [2]. Fig. 1 shows the .
