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Cdga | what is the core of digital transformation in the transportation industry?
2022-06-27 19:20:00 【Hongbo innovation】
The digital transformation of the transportation industry is to use digital to enable , The primary task of digital enabled traffic management is to get through 、 Links are scattered in different departments 、 Data information in different fields . To realize “ people - vehicle - road - flow - That's ok ” Holographic perception 、 Real time research and judgment and overall decision-making ability , Comprehensively 、 Fine grained grasp of urban travel demand 、 Supply and operation law .
In recent years , All urban transportation bureaus actively explore the use of big data to enable fine management of urban transportation , Gradually solve the problem of urban congestion . However, due to the high complexity of the traffic management system 、 It is difficult to integrate traffic data diversity 、 Single data analysis method and other reasons , As a result, the application of traffic big data faces many problems : One side , Transportation departments 、 Systems 、 There are many isolated information islands among enterprises , Hindering the integration of big data 、 analysis 、 Development of application work ; On the other hand , Diversified traffic data has not been built into a shared database , Repeated data collection 、 Data definition 、 Data standards are also different ; meanwhile , The data analysis method is single , Lack of effective, efficient and real-time response strategies such as pre prevention and in-process monitoring . therefore , The core of the digital transformation of the transportation industry is to do a good job in data management . Use data governance to promote application innovation 、 Technology empowerment 、 Business improvement has become the focus of the transportation industry . Specific data governance developments include : (1) By constructing traffic data resource pool , Realize multi-source fusion of traffic data ; (2) Through the construction of traffic data center , Establish a standard data resource management system , Realize the collection of multi-source heterogeneous data 、 The fusion 、 Sharing and exchanging ; (3) Through AI (AI) Central Taiwan Construction , Build a rich algorithm model , Realize the in-depth mining, analysis, research and judgment of traffic volume data . The transportation industry can not do well in data management without professional data management talents , Only when enough professionals join the data governance of the transportation industry can the digital transformation of the transportation industry be promoted more smoothly , Realize China's strategic dream of becoming a transportation power earlier .
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