Abstract
The recognition of vehicle cluster situations is one of the critical technologies of advanced driving, such as intelligent driving and automated driving. The accurate recognition of vehicle cluster situations is helpful for behavior decision-making safe and efficient. In order to accurately and objectively identify the vehicle cluster situation, a vehicle cluster situation model is proposed based on the interval number of set pair logic. The proposed model can express the traffic environment's knowledge considering each vehicle's characteristics, grouping relationships, and traffic flow characteristics in the target vehicle's interest region. A recognition method of vehicle cluster situation is designed to infer the traffic environment and driving conditions based on the connection number of set pair logic. In the proposed model, the uncertainty of the driver's cognition is fully considered. In the recognition method, the relative uncertainty and relative certainty of driver's cognition, traffic information, and vehicle cluster situation are fully considered. The verification results show that the proposed recognition method of vehicle cluster situations can realize accurate and objective recognition. The proposed anthropomorphic recognition method could provide a basis for vehicle autonomous behavior decision-making.
Highlights
The interval number is transformed into the connection number based on the uncertainty system theory and the connection number of set pair logic [19]. en, the recognition of the vehicle cluster situation is carried out. erefore, the traffic environment information can be represented as the interval number, transformed into a connection number, and transformed into the expression of the trigonometric function
Compared with the existing research, the proposed recognition method of vehicle cluster situation is based on the comprehensive cognition of the driver
It is the practical application of human logic reference theory in the perception and cognition of the traffic environment. e proposed recognition method presents the relatively certain information and relatively uncertain information of origin data and the interaction information of two kinds of information
Summary
Set pair logic is a mathematical tool to deal with fuzzy and uncertain knowledge, depicting human cognition objectively. Ree-valued logic is a particular multivalued logic expressing probability; that is, a proposition can take three values: true, false, or possible In this regard, researchers study fuzzy thinking, language, and laws by using fuzzy mathematics such as the fuzzy set and membership functions, that is, fuzzy logic. E connection number is the set pair’s characteristic function, reflecting research objects’ different relationships and structures It is a structurefunction with constructive and a certain form. Human perception and cognition of things is a “range” with uncertainty rather than an exact number, and the interval number is inherently uncertain. After the transformation from interval number into connection number, the expression of the trigonometric function of connection number can be gained according to equations (7)–(9)
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