Research on the optimization of driving strategy of intelligent networked vehicles based on big data technology

Through the exploration of the principle of behavioral decision-making method, we propose an intelligent decision-making framework and design a personalized driving strategy generation model. Combined with big data driving behavior analysis and algorithm optimization, driving behavior pattern recognition and intelligent path planning are realized. Experimental results show that the proposed model has significant effects in improving road condition adaptability, driving safety and user experience. This research provides new ideas and methods for the development of intelligent networked vehicle technology, and lays a foundation for the construction of future intelligent transportation systems.