Risk assessment of dangerous goods in-transit based on CRITIC-TOPSIS-grey correlation analysis
In order to quantitatively evaluate the risk of dangerous goods transportation and explore the internal relationship between the vehicle warning and transportation risk during the transportation process,more than 1.16 million multi-source vi-olation warning data of dangerous goods trucks of an enterprise were taken as the research object,and 7 types of warning inde-xes were selected. The risk of dangerous goods in-transit was quantitatively analyzed by using the CRITIC-TOPSIS method,and the correlation degree between warning sub-sequence and warning frequency parent sequence was transversely analyzed combining with the grey correlation analysis method. The results show that all the warning indexes have great impact on the risk of dangerous goods transportation,and the weights of yawning warning and rapid acceleration warning is relatively high,at 0.208 and 0.205,respectively. In addition,the lane departure and front-vehicle collision have a significant impact on the total warning frequency,thus affecting the transportation risk,while the emergency braking has the least impact. The research re-sults can provide reference for the dangerous goods transportation enterprises to focus on the key warning indexes and then adopt targeted safety education and driving skills training.