Research On Traffic Management Strategy Based On Big Data In Nanchang Municipal Traffic Management Buruea

In recent years,in the continuous development of social economy,the number of motor vehicles and drivers in the rising,to the daily management of the traffic police,it has brought tremendous pressure.How to use the "big data" technology,ideas,methods and thinking,and the combination of large data and daily traffic management work to further enhance the effectiveness of public security traffic management work has become the leaders at all levels need to take into consideration.In recent years,the Traffic Administrative Department of Nan Chang Municipal Public Security Bureau has unceasingly developed a big data strategy system,which technically support command,decision making and so on in traffic management.Some of them which explore the further application have become the framework of the application of big data,but further study is still needed in professional demands,technical application,management mechanism and so on.With intelligent traffic developed vigorously,big data as basic applications have solved many traffic management problems.Therefore,it has received unprecedented attention.And now road traffic environment is becoming more and more complex,Public Security Traffic Management Department must take big data application technology as the core,constantly strengthen the implement of ”science and technology strong police” strategy,thus making intelligent traffic police hierarchically,precisely and prospective.At the present stage,a small number of cities have lead-in big data strategy in public security traffic management field,they turn traffic management from “business-driven” into “data-prediction” through deeply evacuate and comprehensively apply traffic data information which varies from minute to minute,and then realize ”science and technology strong police” strategy.However,the extraction and acquisition of traffic data must be highly efficient,timeliness and precisely,so that the traffic management mechanism and the construction of intelligent city traffic management system can be effectively analyzed,and this problem should be well resolved through big data strategy.In the application of large data in the traffic management practice and explore the more effective countries and places are the United Kingdom,the United States and China's Shenzhen area.Now how to publicize public transport data,how to protect the privacy of individuals and how to save and extract traffic data and other issues,is a major problem that traffic management with big data faces.We can increase the data access the diversification,pay attention to the protection of personal information and improve the quality of traffic data and other methods to solve.This is an information age,which makes the decision-makers must be through the data to manage,a lot of data created a scientific management of all walks of life.At present,the use of traffic data collection and information dissemination in the city is very widely,but it is very lack of corresponding functional products and service products,such as real-time analysis,forecast congestion and other deep-seated products.In the promotion of basic data collection and distribution facilities at the same time,the city's public security traffic management system should be further improved data processing system in order to provide basic public security traffic management needs and people's travel needs related products and services,and thus promote the law enforcement and services of high efficiency interaction.Public security traffic management big data analysis system is focused on the application of public security traffic management information,making the industry information resources have been integrated,data analysis of the energy efficiency has been improved,so made a score can not be underestimated.At the same time,under the four processes of construction,expansion capacity,application and development,the "big data" of public security traffic management is characterized by confidentiality,normative,legal and systematic,and it's value mainly through inquiry and scientific early warning,Information sharing and legal evidence,social services and convenience of people,but there are still many problems in other aspects(such as application,security and progress),so the way of thinking and the state of work should be changed,Vigorously carry out communication with the Institute of Transportation Science and related industries,continue to use standardized data to the application of data resources,making the comprehensive use of data information level has been effectively improved.