Today, the accelerating development in traveling demand and the number of vehicle circulating on the roads in Viet Nam‟s densely populated cities has been putting the transportation infrastructure under high pressure. The traffic congestion consecutively occurs especially in the rush hours. Besides, the public‟s conception as participating in transportation also directly have detrimental impacts on this burning issue.
With the widespread growth of GPS satellite located equipment, especially according to the circulars 91/2009/ND-CP of Viet Nam Transportation Ministry, the vehicles must be equipped monitoring facilitates which send transportation information continuously to the converging data centers. In fact, there is massive amount of transportation data being directed to these centers per second, hence it consists of features of “big data” – a key word which is used for huge and complicated sets of data. Thereby, it is impossible for traditional data processing to tackle this problem.
The ultimate goal of this graduation thesis is to build a system which is capable to process, analysis consecutive blocks of GPS data in real-time and then show the information about transportation state of roads and provide capacity of finding the fastest way in time-dependent spatial networks. With this information, the participants can chose an appropriate route to avoid traffic jam and the managers can schedule for developing policies of infrastructure, therefore making great contribution to tackling traffic congestion and giving a boost for the development of the society.
This graduation thesis will show the result of study process, requirement analyzing, real-time big data processing system installing and designing, putting the reduction of traffic jam in realistic perspective..