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In the fields of traffic management, traffic health, and vehicle safety, vehicle speed prediction is an important research topic. The greater the difference between vehicle speed and average vehicle speed, or the more discrete the vehicle speed distribution, the higher the accident rate. This paper proposes a vehicle speed prediction method based on adaptive KF (Kalman filtering) in the ARMA (Autoregressive Moving Average) environment to address the problem of high-speed moving vehicle speed prediction. The ARMA theory is used to model the prediction of speed time series. The contribution rate of each coefficient representing the original time series is different after fitting the original time series with the ARMA model, so each coefficient must be given a certain weight. Multisource traffic data fusion and interval speed prediction are carried out on the basis of few-shot data preprocessing and traffic state division, according to different traffic states. The speed prediction accuracy is very high, according to the algorithm verification results.

A dynamic optimized dispatching system for elevator group based on synthetically application the artificial intelligent technology is presented in this paper. The elevator group is divided into five traffic modes according to the actual traffic flow by using an expert system based on artificial neural network firstly, and then a synthetically estimate parameter of elevator dispatching calculated found on fuzzy control theory in every identified traffic mode according the needs of passengers and the requirements of managers. The simulation is in allusion to the data of a office building by the MATLAB.The elevator dispatching pattern is optimized, the service quality of elevator is improved, and the transportation efficiency of elevator is increased by using this control system.

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With the emergence of cloud computing technology, various industries have solved many problems through cloud computing technology. In terms of auto companies, in order to quickly respond to market demand and seek new automotive R&D models, cloud computing technology has been effectively introduced into automobile enterprises and it provides enterprises with new solutions.