Novel road condition state evaluation method based on JS divergence and fuzzy evidence theory

Abstract

The invention belongs to the field of multi-sensor high-conflict data fusion. The invention relates to a novel road condition state evaluation method based on JS divergence and a fuzzy evidence theory. The method aims at original conflict data collected by each sensor and comprises the following steps: firstly, reasonably allocating probability assignment of multiple subsets of focal elements of an uncertain part in probability to a single subset, wherein the JS divergence is used for measuring the distance sum of the same focal element in the evidence under different probability distributions; enabling the similarity coefficient to effectively measure conflicts between different evidence main bodies, then embedding a fuzzy reasoning mechanism is reasonably to objectively measure the conflict degree of the evidences, finally, using the support degree for obtaining the weight and weighting the evidences to obtain the average evidences, wherein the DS fusion rule of data fusion is used for fusing the average evidences for multiple times to obtain a reliable fusion result. The method has the beneficial effects that the road condition is reasonably described, the congestion condition and the change trend of the traffic road are specifically and quantitatively described by using the comprehensive value through the linear association of the comprehensive connection value and all connection components in the model, and the driving of a driver is assisted.

Description

technical field [0001] The invention relates to a high-conflict data fusion algorithm, which belongs to the field of multi-sensor high-conflict evidence fusion. In particular, a new method for road condition assessment based on JS divergence and fuzzy evidence theory. Background technique [0002] With the development of science and technology, the related research of the Department of Cyber-Physical Systems (CPS) has attracted the attention of researchers. CPS is a complex multi-dimensional system that embeds computing and networks in the physical environment, realizing the integration of the three Integration, the combined use of 3C (Computation, Communication, Control) can meet the high requirements of large and complex systems for communication and control. The Automotive Cyber-Physical System (VCPS) is a product of this. VCPS, in short, is to use CPS technology on the car to achieve safer and more convenient driving. The road state assessment method under the car VCPS...

AI Technical Summary

Problems solved by technology

[0003] However, a single road characteristic index (such as distance, traffic capacity, saturation, etc.) is often lacking in accurately and objectively describing the state of the traffic road network, so a multi-sensor road network evaluation method was born. In the post-traffic era, The complexity and variety of transportation equipment and the daily wear and tear of force majeure equipment lead to the information collected by multi-sensors is often a large amount of complex data with high conflicts, and the fusion and processing of these uncertain conflict evidences leads to counter-intuitive problems in the final result

At the same time, the mapping relationship between road status and road features is complex and difficult to describe

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