Abstract
Under the condition of big data, high-dimensional feature selection and intelligent understanding of road traffic are the key to road traffic management and service based on road traffic big data. Starting from the research on the characteristics of road traffic big data, this college student project intends to study the high-dimensional feature selection and intelligent understanding method of road traffic big data, and carry out innovative research on the scientific problem of seeking the intelligent solution of road traffic big data. This paper studies the spatiotemporal correlation, redundancy and structure characteristics of road traffic big data, forms the high-dimensional feature selection method of road traffic big data, constructs the intelligent understanding mechanism of road traffic big data, and lays the foundation for solving the intelligent solution of road traffic big data.
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