Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance

Abstract

This study explored the relationships between subjective evaluations and objective metrics of vehicle dynamic performance. First, a real vehicle test was performed to measure the acceleration performance under different conditions, and participants’ subjective evaluations of the acceleration performance were investigated. Second, correlation analysis was conducted to explore relationships between each subjective evaluation and its corresponding objective metric as well as between the overall subjective evaluation and three individual subjective evaluations. Finally, an overall subjective evaluation model related to the three objective metrics was established based on the Probabilistic Neural Network (PNN). The analysis results demonstrated that the correlation coefficients of the three groups of data were greater than 0.5 and that each subjective evaluation was significantly correlated with its corresponding objective metric. The individual subjective evaluation of the climbing acceleration performance had the largest effect on the overall subjective evaluation, with a correlation coefficient of 0.47. The established overall subjective evaluation model was relatively reliable, with a prediction accuracy of 90%. This study furthered the existing knowledge of the methods for evaluating vehicle dynamic performance. The proposed overall subjective evaluation model improves the reliability of vehicle dynamic evaluations and offers a theoretical basis for vehicle manufacturers to improve automobile performance.

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

“…Applying an evaluation index system for intelligent turn-around behavior, an improved AHP method was used to determine the weight of each evaluation index, and a grey correlation analysis evaluation model was used for evaluation [20]. Zhao et al explored the relationship between subjective evaluation and objective indicators of vehicles' dynamic performance and established an overall subjective evaluation model based on a probabilistic neural network (PNN) to evaluate vehicle dynamic performance [21]. Kim et al used road information to develop assessment scenarios and study the evaluation criteria for control systems between vehicles and infrastructure [22].…”

Performans ve sürülebilirlik ölçütlerini sağlamak için motor kontrol ünitesinin çevrimiçi optimizasyonu

“…Özer Ulucay 1 * , Selim Sivrioğlu 2 , Muammer Özkan 3 1 Gebze Teknik Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümü, 41400, Gebze, Kocaeli, Türkiye 2 Piri Reis Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümü, 34940, Tuzla, İstanbul, Türkiye 3 Otomotiv kontrol modüllerinde, sistem kontrolü için kalibrasyon parametreleri kullanılmaktadır ve optimum performans için optimize edilmeleri gerekmektedir. Araçların başlangıç performansları ve sürülebilirlikleri, kullanım mesafesi ve şartlarına bağlı olarak ortaya çıkan yıpranmalardan olumsuz etkilenir.…”

“…Genel olarak, değerlendirmeler teknik uzmanlar ve sürüş bilirkişileri tarafından öznel olarak gerçekleştirilir. Bu amaçla bazı araştırmacılar araç dinamik performansını araştırmıştır [3] ve sürüş konforuna odaklanan bazı çalışmalar da bulunmaktadır [4]. Bununla birlikte, sürülebilirlik ve performans arasındaki etkileşimin dikkate alınması ve birleşik değerlendirme yapılması gerekmektedir.…”