Liu Dongying, Huang Wanyou, Chu Ruixia, Li Zhenyu, Jin Xiaoyue, Zhang Hongtao, Wang Yan, Ji Shaobo
Automotive Engineering College, Shandong Jiaotong University, Jinan 250357, China.
Intelligent Testing and High-End Equipment of Automotive Power Systems, Shandong Province Engineering Research Center, Jinan 250000, China.
Sensors (Basel). 2025 Mar 29;25(7):2171. doi: 10.3390/s25072171.
With the continuous development of assisted driving technology, the autonomous emergency braking (AEB) system has emerged as a critical innovation in preventing collisions and improving vehicular safety. In this paper, to test the performance of the AEB system efficiently and reliably in real-world driving scenarios, four typical test scenarios for the AEB system were constructed, and five comprehensive performance evaluation indices, including braking parking distance, braking deceleration, collision warning time, speed variation, and accident collision avoidance rate, were proposed for the first time. Subsequently, the Comprehensive Performance Evaluation Index Model (CPEIM) for the AEB system and scoring rules for typical test scenarios were established, which were applied to analyze data obtained from road testing, thereby enabling comprehensive testing and evaluation for AEB system performance. The results showed that the Tesla Model Y and Volvo S90 scored 1.8857 and 2.0433, respectively. Under conditions of dry pavement, across a range of test scenarios, the AEB system of both the Tesla Model Y and Volvo S90 were capable of averting collisions at speeds not exceeding 35 km/h and 45 km/h, respectively.
随着辅助驾驶技术的不断发展,自动紧急制动(AEB)系统已成为预防碰撞和提高车辆安全性的一项关键创新。本文为在实际驾驶场景中高效、可靠地测试AEB系统的性能,构建了AEB系统的四种典型测试场景,并首次提出了制动停车距离、制动减速度、碰撞预警时间、速度变化和事故碰撞避免率这五个综合性能评估指标。随后,建立了AEB系统综合性能评估指标模型(CPEIM)和典型测试场景的评分规则,并将其应用于分析道路测试获得的数据,从而实现对AEB系统性能的全面测试和评估。结果显示,特斯拉Model Y和沃尔沃S90的得分分别为1.8857和2.0433。在干燥路面条件下,在一系列测试场景中,特斯拉Model Y和沃尔沃S90的AEB系统分别能够在速度不超过35公里/小时和45公里/小时的情况下避免碰撞。