Applications of Big Data Analytics in Traffic Management in Intelligent Transportation Systems

Hoang Phuong Nguyen - Academy of Politics Region II, Ho Chi Minh city, Vietnam
Phuoc Quy Phong Nguyen - PATET Research Group, Ho Chi Minh city University of Transport, Ho Chi Minh city, Vietnam
Viet Duc Bui - Faculty of Business Administration, HUTECH University, Ho Chi Minh city, Vietnam

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Big Data technology is emerging as a mass technology that can be applied to many industries in life. Decisions in a wide range of fields may benefit greatly from the information provided by Big Data and Analytics research. One of the areas that have benefited the most from this technology is transportation, which is known as an important field in the development of each nation and possesses a huge treasure of data that traditional technologies cannot handle. Indeed, many countries have applied Big Data-based intelligent transportation systems because it is a traffic system that interacts with vehicles and people on the road, thereby reducing traffic congestion and traffic accidents year by year in many countries. The article presents the applications of Big Data technology in smart traffic systems, thereby providing the perspective of a smart city with a smart traffic system as a critical factor. This paper's analysis indicated that smart cities could be born and further developed through the linkage of Big Data technology and smart traffic systems with smart traffic systems as the core. In addition, the results also showed that the obstacle that needs to be studied at this time is the policy and legal framework for Big Data technology. Therefore, a system managed by the state or shared between the state and the private sector should be studied in the future, aiming to harmonize interests and develop the system extensively.


Intelligent transportation systems; big data; smart city; traffic congestion; management strategy.

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