Abstract
As a representative product of the sharing economy era and a powerful supplement to public transportation shared cars have the characteristics of convenience, efficiency, environmental protection, and green travel, and to a certain extent alleviate the contradiction between supply and demand, and solve the problem of long-term idle vehicles and overloaded operation of roads problems. But the uneven distribution of shared cars, the coexistence of no cars, and empty seats will happen. To solve the above problems, this article first analyzes data outliers, data missing values, and data standardization processing on the attached data, and then builds a BP neural network demand prediction model to obtain the distribution of shared car usage in the city.
Highlights
The sharing economy has gradually merged with all walks of life [1], resulting in various sharing industries that rely on network platforms
The paper describes the structure and algorithm of the neural network model-BP neural network [3] and proposes on this basis a real-time scheduling prediction model based on BPNN [4, 5]
For the first column indicator, we can know from this indicator that the information provided to us is the time node of this sample data; the second and third column indicators give us latitude and longitude information
Summary
The sharing economy has gradually merged with all walks of life [1], resulting in various sharing industries that rely on network platforms. As an emerging mathematical modeling method, the neural network has the characteristics of recognizing complex nonlinear systems and is more suitable for realtime scheduling. The paper describes the structure and algorithm of the neural network model-BP neural network [3] and proposes on this basis a real-time scheduling prediction model based on BPNN [4, 5]. The large-scale application of electric vehicles has caused a serious impact on the power grid and transportation system. There is a lack of research on electric vehicle charging scheduling strategies based on the performance of the power grid and transportation system. This paper establishes a mathematical model to analyze the distribution of shared car use in the city to formulate the most beneficial shared car scheduling scheme for enterprises
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