20202020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT)Requires access

Research on Coordinated Processing Scheme of Intelligent Transportation under Big Data Structure

Fang Wan, Ming Li

Open publisher page 7 citations

Abstract

Intelligent traffic management system is the general trend of traffic system development. It integrates various advanced technologies such as information technology, wireless communication technology, computer technology and sensor technology to form a comprehensive and efficient traffic management system. Data is the core of intelligent transportation, and in-depth processing and analysis of traffic data is the key. Through data analysis and mining of big data of intelligent transportation, the aim of optimizing the organization of intelligent transportation can be realized, and the scientific decision-making and intelligent travel can be realized. The essence of intelligent transportation system (ITS) is to comprehensively solve the transportation problems by using modern high and new technology. The purpose is to establish a comprehensive transportation system that can play a role in a wide range, all-round, real-time, accurate, efficient, safe, convenient and comfortable way. This paper systematically discusses the theory, method and technology involved in the construction of its platform and framework based on big data.

About this research paper

What this paper is about

Intelligent traffic management system is the general trend of traffic system development. It integrates various advanced technologies such as information technology, wireless communication technology, computer technology and sensor technology to form a comprehensive and efficient traffic management system. Data is the core of intelligent transportation, and in-depth processing and analysis of traffic data is the key. Through data analysis and mining of big data of intelligent transportation, the aim of optimizing the organization of intelligent transportation can be realized, and the scientific decision-making and intelligent travel can be realized. The essence of intelligent transportation system (ITS) is to comprehensively solve the transportation problems by using modern high and new technology. The purpose is to establish a comprehensive transportation system that can play a role in a wide range, all-round, real-time, accurate, efficient, safe, convenient and comfortable way. This paper systematically discusses the theory, method and technology involved in the construction of its platform and framework based on big data.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Intelligent traffic management system is the general trend of traffic system development. It integrates various advanced technologies such as information technology, wireless communication technology, computer technology and sensor technology to form a comprehensive and efficient traffic management system. Data is the core of intelligent transportation, and in-depth processing and analysis of traffic data is the key. Through data analysis and mining of big data of intelligent transportation, the aim of optimizing the organization of intelligent transportation can be realized, and the scientific decision-making and intelligent travel can be realized. The essence of intelligent transportation system (ITS) is to comprehensively solve the transportation problems by using modern high and new technology. The purpose is to establish a comprehensive transportation system that can play a role in a wide range, all-round, real-time, accurate, efficient, safe, convenient and comfortable way. This paper systematically discusses the theory, method and technology involved in the construction of its platform and framework based on big data.

Key concepts: Intelligent transportation system, Advanced Traffic Management System, Big data, Computer science, Key (lock), Scheme (mathematics), Intelligent decision support system, Data processing

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