基于大數(shù)據(jù)的南昌市交管局交通管理策略研究
[Abstract]:In recent years, in the continuous development of social economy, the number of motor vehicles and drivers is increasing continuously, bringing great pressure to the daily management of public security traffic police. How to use it Big Data The technology, idea, method and thinking of public security traffic management work together with daily traffic management work has become a step for leaders and technicians at all levels. In recent years, the Public Security Bureau of Nanchang Municipal Bureau of Public Security has developed a large data strategic system, which provides very large technical support for the command and dispatching and auxiliary decision-making of public security traffic management in the whole city, but still needs to be applied to the technical application and business requirements. The management mechanism and other aspects are being studied in depth. Intelligent traffic is being vigorously developed. Under this background, as the big data of basic application, very much traffic management problems have been solved, so it has gained unprecedented attention. But now to face the increasingly complex road traffic environment, the public security organ traffic management department must take the big data application technology as the core, constantly strengthen "Science and technology strong police" The implementation of the strategy actively promotes the intelligent traffic police service to be layered, refined and forward-looking. At present, a small number of cities have introduced big data strategy in the field of public security traffic management. "Business Drivers" forward" Data Forecast "promote transformation and further realize" Science and technology strong police, science and technology strong combat capacity "This is the goal. However, the extraction and acquisition of traffic data must be of high efficiency, timeliness and accuracy, so that the traffic management mechanism and the building of intelligent urban traffic management system can be effectively analyzed, and this problem must be solved well, and the large data strategy must be adopted. The application of large data in traffic management has been proved to be a valid country and place, which is the Shenzhen area of Britain, the United States and China respectively. Nowadays, how to open the data of public transport, how to protect the privacy of the individual and how to store and withdraw traffic data is a great problem to be faced in traffic management of large data, and we can increase the diversification of data access, Pay attention to the protection of personal private information and improve the traffic data quality and so on. This is an era of information, which makes decision makers have to manage through data, and a great deal of data has created scientific management in all walks of life. At present, the application of traffic data collection and information distribution in cities is very wide, but it is very short of corresponding functional products and service products, such as real-time analysis, forecast congestion and other deep-level management products. At the same time of lifting the basic data collection and publishing facilities, the urban public security traffic management should further improve the data processing system in order to provide products and services which can meet the demand of the basic public security traffic management and the travel demand of the people, thereby facilitating the efficient interaction of law enforcement and services. Public security traffic management large data analysis and judging system focuses on the application of public security traffic management informatization, so that the industry information resources are fully integrated, and the energy efficiency of data analysis and analysis is improved, so that the achievement of non-public security traffic management informatization has been achieved. At the same time, in the four processes of construction, expansion capacity, application and development, public security traffic management Big Data It has the characteristics of confidentiality, normative, legal and systematic value, and its value is mainly embodied in the aspects of inquiry information and scientific warning, information sharing and legal evidence, social service and civilian benefit, but in other aspects (e.g., application, There are still many problems in the areas of security and progress, so the way of thinking and the state of work should be transformed, the communication between the Institute of Science and Technology and the Institute of Transport Science and the relevant industry will continue, and data resources will continue to be applied through the standardized process, so that the level of the comprehensive utilization of the data information is effectively improved.
【學(xué)位授予單位】:江西財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:D631.5
【參考文獻(xiàn)】
相關(guān)期刊論文 前7條
1 李天佑;;大數(shù)據(jù)云時(shí)代:智能交通系統(tǒng)的機(jī)遇與挑戰(zhàn)[J];中國(guó)安防;2015年12期
2 李曉;;基于大數(shù)據(jù)分析的智能交通系統(tǒng)[J];電子測(cè)試;2014年23期
3 逯峰;;大數(shù)據(jù)時(shí)代公安工作面臨的機(jī)遇和挑戰(zhàn)[J];廣東公安科技;2014年03期
4 李亞軍;;大數(shù)據(jù)時(shí)代背景下公安交通管理工作研究[J];廣西警官高等?茖W(xué)校學(xué)報(bào);2014年01期
5 ;大數(shù)據(jù)時(shí)代:智能交通系統(tǒng)發(fā)展面臨機(jī)遇與挑戰(zhàn)[J];科技傳播;2014年03期
6 徐煒;;交通管理已進(jìn)入大數(shù)據(jù)時(shí)代[J];道路交通管理;2013年11期
7 畢然;黨梅梅;;智能交通系統(tǒng)標(biāo)準(zhǔn)化現(xiàn)狀及發(fā)展趨勢(shì)[J];電信網(wǎng)技術(shù);2011年04期
相關(guān)重要報(bào)紙文章 前2條
1 劉濤;;大數(shù)據(jù)不是萬(wàn)能的[N];中國(guó)國(guó)防報(bào);2014年
2 馬繼華;;解決交通擁堵,大數(shù)據(jù)應(yīng)用靠譜嗎?[N];人民郵電;2014年
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