Studies Conducted at Xihua University on Risk Management Recently Reported (Research of fatal car-to-pedestrian precrash scenarios for the testing of the active safety system in China)

2020 DEC 21 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators discuss new findings in Risk Management. According to news reporting from Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Road safety remains a challenge with numerous Vulnerable Road Users (VRUs) suffering from injuries and death every year. Pedestrian protection using active safety systems, such as Automated Emergency Braking (AEB), is an effective measure to combat the situation.”

Financial supporters for this research include Centre for Numerical Analysis and Intelligent Software, Shanghai Automotive Industry Science and Technology Development Fund, China National Institute of Standardization Project Research on key technologies to construct automated vehicle critical scenarios based on NAIS data.

The news correspondents obtained a quote from the research from Xihua University, “Furthermore, the perception of precrash scenarios plays an important role in active safety research. It is essential to understand and define precrash scenarios. This study aimed to apply the obtained typical car-to-pedestrian precrash scenarios from Chinese severely injured pedestrian traffic accidents to develop and test active safety systems. The National Automobile Accident In-Depth Investigation System (NAIS) recorded 467 cases from 2011 to 2018 in China, and 12 items were selected from the NAIS database as description variables for the precrash scenario. The items were divided into four categories: car, pedestrian, road, and environment. Group decision theory was applied to evaluate the importance of each variable in its category. A total of 34 basic scenarios were defined and obtained according to the extracted significant variables. These basic scenarios represented diverse fatal scenarios in China which are crucial for autonomous driving. The frequency distribution of the scenarios demonstrated that the top five scenarios covered 85.3 % of the total. Five scenarios were identified to have the common characteristic of cars going straight. Additionally, 13 detailed scenarios were obtained from the five basic scenarios by using cluster and frequency analyses. In contrast to the New Car Assessment Program (NCAP) test scenarios, weather and lighting conditions were considered in these 13 scenarios, and the driving speed before the crash were mostly distributed in the range of 40-80 km/h (20-60 km/h in the NCAP). Meanwhile, both walking and running were commonly recorded for pedestrians to cross the street from the nearside, compared with records of walking only to cross from the nearside in the NCAP.”

According to the news reporters, the research concluded: “These results contribute to a reference for test scenarios of pedestrian AEB or Forward Collision Warning (FCW) in China.”

This research has been peer-reviewed.

For more information on this research see: Research of fatal car-to-pedestrian precrash scenarios for the testing of the active safety system in China. Accident Analysis & Prevention, 2020;150:105857. Accident Analysis & Prevention can be contacted at: Pergamon-Elsevier Science LTD, the Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis & Prevention - http://www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news journalists report that additional information may be obtained by contacting Yaoyue Che, Xihua University, National Experiment Teaching Demonstration Center of Automotive Engineering, 610039, Chengdu, People’s Republic of China. Additional authors for this research include Zhengping Tan, Lingyun Xiao, Wenhao Hu, Pingfei Li and Jin Xu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2020.105857. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Publisher contact information for the journal Accident Analysis & Prevention is: Pergamon-Elsevier Science LTD, the Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England.

(Our reports deliver fact-based news of research and discoveries from around the world.)