Real-time comprehensive driving ability evaluation algorithm for intelligent assisted driving

To meet the needs of the human-machine co-driving decision problem in the intelligent assisted driving system for real-time comprehensive driving ability evaluation of drivers,this paper proposes a real-time comprehensive driving ability evaluation method that integrates driving skill,driving state,and driving style.Firstly,by analyzing the driving experiment data obtained based on the intelligent driving simulation platform(the experiment can effectively distinguish the driver's driving skills and avoid the interference of driving style),the feature values that significantly represent driving skills and driving state are selected,and the time correlation between driving state and driving skills is pointed out.Furthermore,the concept of relativity in comprehensive driving ability evaluation is further proposed.Under this concept,the natural driving trajectory dataset-HighD is used to establish the distribution map of feature values of the human driver group as the evaluation benchmark to realize the relative evaluation of driving skill and driving state.Similarly,HighD is used to establish a distribution map of human driver style feature values as an evaluation benchmark to achieve relative driving style evaluation.Finally,a comprehensive driving ability evaluation model with a“punishment”and“affirmation”mechanism is proposed.The experimental comparative analysis shows that the evaluation algorithm proposed in this paper can take into account the driver's driving skill,driving state,and driving style in the real-time comprehensive driving ability evaluation,and draw differential evaluation conclusions based on the“punishment”and“affirmation”mechanism model to achieve a comprehensive and objective evaluation of the driver's driving ability.It can meet the needs of human-machine shared driving decisions for driver's driving ability evaluation.

What is the Industrial Structure Changes of China?

Although China has made great achievements in economic scale,the model of high-quality economic developments is still in the exploratory stage.A series problems,such as unreasonable industrial structure and low production effciency,need to be resolved urgently.The transformation and upgrading of industrial structure is the inevitable choice.The analysis of industrial relations is an important method to reveal the internal mechanism of industrial structure change.Therefore,based on the concepts of sensitivity and influence coeffcient,this paper proposed the concepts of driven and driving coeffcient,and constructed the industrial complex networks of China from 1999 to 2013 according to the EORA input-output table.From the perspectives of the interaction power,industrial linkages and community structure,this paper systematically analyzes the evolution of China’s industrial structure.Results show that China’s industrial structure is undergoing a transformation from industry-oriented to industry-service-oriented.The interaction linkages between industries has formed a robust association structure.The traditional sectors such as infrastructure construction and industries are still the largest consumer group driving the development of other industries.Besides,light industry,infrastructure construction and finance have become increasingly important hub industries in the industrial system.However,some unbalanced community structures are formed in the economic system,which has resulted in a waste of resources and low production effciency to a certain extent.Effectively grasping the relationship between China’s industrial structure evolution and its association is conducive to formulating economic restructuring policies,promoting the upgrading of China’s economic and,realizing the leap from quantitative change to qualitative change.