Research on Urban Intelligent Transportation System Based on Track Big Data

With the increase in urban population and the number of car users, traffic congestion has become a stubborn problem that is difficult to completely cure in major cities. It has brought significant pressure to urban transportation, leading to an increase in traffic accidents and exacerbation of social conflicts. In order to alleviate the adverse effects of traffic congestion, it is necessary to make reasonable use of trajectory data developed under the background of information technology, the Internet of Things, and positioning technology. This article first elaborates on the classification and advantages and disadvantages of trajectory data, then analyzes the application scenarios of trajectory data, and finally studies methods for mining trajectory data information, which can effectively identify traffic congestion points and congested road areas, help drivers quickly change their driving routes, and enable relevant departments to respond quickly.