Abstract
The core of smart city is to build intelligent transportation system.. An intelligent transportation system can analyze the traffic data with time and space characteristics in the city and acquire rich and valuable knowledge, and it is of great significance to realize intelligent traffic scheduling and urban planning. This article specifically introduces the extensive application of urban transportation infrastructure data in the construction and development of smart cities. This article first explains the related concepts of big data and intelligent transportation systems and uses big data to illustrate the operation of intelligent transportation systems in the construction of smart cities. Based on the machine learning and deep learning method, this paper is aimed at the passenger flow and traffic flow in the smart city transportation system. This paper deeply excavates the time, space, and other hidden features. In this paper, the traffic volume of the random sections in the city is predicted by using the graph convolutional neural network (GCNN) model, and the data are compared with the other five models (VAR, FNN, GCGRU, STGCN, and DGCNN). The experimental results show that compared with the other 4 models, the GCNN model has an increase of 8% to 10% accuracy and 15% fault tolerance. In forecasting morning and evening peak traffic flow, the accuracy of the GCNN model is higher than that of other models, and its trend is basically consistent with the actual traffic volume, the predicted results can reflect the actual traffic flow data well. Aimed at the application of intelligent transportation in an intelligent city, this paper proposes a machine learning prediction model based on big data, and this is of great significance for studying the mechanical learning of such problems. Therefore, the research of this paper has a good implementation prospect and academic value.
Highlights
With the rapid development of social economy, the process of industrialization and urbanization has been continuously promoted, people’s living standards continue to rise, all kinds of means of transportation are becoming more and more popular, the popularity of domestic cars is constantly improving, the supply of urban infrastructure is in short supply, the limited traffic resources cannot meet the growing traffic needs, and the contradictions between people and vehicles, vehicles and roads, and roads and people are increasingly obvious; the imbalance of traffic structure leads to the limitation of urban sustainable development
Various cities have appeared to have traffic congestion; traffic congestion is spreading from the first-level cities to the second- and third-level cities, gradually affecting the travel safety and living standards of most people
An efficient transportation system can truly solve a series of problems such as traffic safety, vehicle supervision, traffic congestion, and traffic flow supervision caused by road vehicle conflicts
Summary
With the rapid development of social economy, the process of industrialization and urbanization has been continuously promoted, people’s living standards continue to rise, all kinds of means of transportation are becoming more and more popular, the popularity of domestic cars is constantly improving, the supply of urban infrastructure is in short supply, the limited traffic resources cannot meet the growing traffic needs, and the contradictions between people and vehicles, vehicles and roads, and roads and people are increasingly obvious; the imbalance of traffic structure leads to the limitation of urban sustainable development. Various cities have appeared to have traffic congestion; traffic congestion is spreading from the first-level cities to the second- and third-level cities, gradually affecting the travel safety and living standards of most people For this contradiction, it is not an efficient way to increase the number of traffic channels by relying on traditional methods. By analyzing the subway card data, it can predict the future travel mode of the public, so as to guide the travel time, ticket purchase method, and other information, so as to save the capital and time cost. They only aimed to improve public transport and could not fully cover road traffic [4]. Through the improvement of the city’s intelligent transportation system, improve the city’s traffic quality, promote urban economic development, and accelerate the construction of smart cities
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