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Kiloamp 2018-08-28 478
Undoubtedly, with the advent of the era of big data, intelligent transportation will inevitably produce major changes, and the development of the intelligent transportation industry will also usher in new opportunities. With today's technical support, the performance of big data has successfully transformed human imagination into reality and gradually penetrated into people's lives.
For big data, everyone should not be unfamiliar. At the just-concluded World Cup in Brazil, Google’s cloud computing platform successfully predicted the winners of every game in the World Cup 16 by analyzing a large number of team data. It can be said that "big data" is the next topic in full swing. Especially in the industry, such as medical, transportation, finance and retail, which are heavily influenced by big data, everyone is discussing "big data."
As an important component and important condition of human behavior, traffic is also the most urgent for the perception of big data. The development of intelligent transportation has been valued by countries with the goal of “safety, efficiency improvement, environmental improvement and energy conservation”. China's intelligent transportation has also achieved rapid development, and many technical means have reached the international leading level.
However, the problems and dilemmas are also very prominent. From the perspective of the development of various cities, the potential value of intelligent transportation has not been effectively tapped: the perception and collection of traffic information is still limited, and the vast amount of data existing in various management systems Unable to share the use and effective analysis, the prediction of the traffic situation is weak, and it is difficult for the public's traffic information service to meet the demand. Although there are differences in transportation construction concepts and inputs in various places, in general, the current situation of intelligent transportation is not efficient enough, and the degree of intelligence is not enough, so that many advanced technical equipment can not play its due role. It caused a lot of waste in investment.
One of the most important issues is the flaws in the era of small data: management ideas and technical devices brought from the analog era can only be analyzed in a certain scope, and those relational databases of management systems can only analyze specific ones. Relationships are incapable of massive data, especially semi-structured and unstructured data.
Although digitalization has been basically realized now, digitization and dataization are not the same thing at all, but only partially improve the efficiency of acquisition, storage and application, and there is no major change in essence. The arrival of the era of big data will inevitably bring about a major opportunity to solve problems. Big data inevitably requires us to change the precise calculation of the underlying conditions of small data, but to better face the confounding and grasp the macro situation; big data necessarily requires us not to be keen on causality but related relationships, so that we can deal with massive unstructured data. It is possible, and it will inevitably lead us to strive to digitize everything, and ultimately realize the convenience and efficiency of management.
Undoubtedly, with the advent of the era of big data, intelligent transportation will inevitably produce major changes, and the development of the intelligent transportation industry will also usher in new opportunities. With today's technical support, the performance of big data has successfully transformed human imagination into reality and gradually penetrated into people's lives. Its significance is not just to predict results, improve traffic conditions. More important is to give decision makers a fresh way of thinking: use the known present to predict the unknown future.
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