摘要
为探究不同经验的民航空中交通管制员危险感知能力差异性及其与管制安全行为的关系,采用场景分类法和问卷调查法进行试验,研究不同经验下管制员危险感知能力。根据情景难度、扇区内航空器数量、气象等条件将管制情境划分为4种场景,利用数据挖掘中的关联规则Apriori算法对比分析4组数据,寻找不同管制情境对管制员危险感知影响差异性。研究结果表明:危险感知能力与管制经验相关联;二级管制员感知危险数量最多,只有二级管制员能将管制指令时间作为危险感知的标准,三级和助理管制员做不到这点;影响管制员危险感知能力的关键因素是指令时间、安全间隔、航路拥挤与气象条件。
Experiments were carried out by using the scene classification method and the questionnaire enquiry method to study differences between high-experienced controller,middle-experienced controller and low-experienced controller in risk perception. Difficulties inherent in treating the situation,the number of aircrafts in the sector,weather and other conditions were taken as parameters of the 4 scenarios for the control situation. Mining association rules in Apriori algorithm were used to analyze the data of 4 groups,looking for differences in effects of different control situations on risk perception. The results of the study show that there is a correlation between the ability to perceive the risk and control experience,that only high-experienced controller can regard the control instruction time as a certain of risk perception,and that the key factors that affect the risk control ability are instruction time,safety distance,route congestion and weather conditions.
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2015年第12期22-26,共5页
China Safety Science Journal
基金
中央高校基本科研业务费(3122014C002)
关键词
航空安全
危险感知
APRIORI算法
管制经验
场景分类法
aviation safety
risk perception
Apriori algorithm
control experience
scene classification method
