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With the development of China's economy and the increase of car ownership,China's air pollution has changed from the characteristics of SOOT-TYPE air pollution in the 1980s and 1990s to the characteristics of soot-automobile exhaust mixed air pollution. And the risk of environmental pollution caused by this has become increasingly serious. In order to achieve more effective management and control of urban traffic exhaust pollution, this paper studies the dynamic monitoring and management of environmental risk of urban traffic exhaust pollution based on taxi trail big data. Firstly, the urban area is meshed to identify and extract the road information of different grades in the grid. Then, the traffic flow and speed in the road network are calculated based on taxi trail big data. Then, the exhaust emission calculation methods of different types of vehicles in the road network are studied. Finally, the real-time visualization of exhaust emissions from each grid in the road network is presented to provide decision support for environmental risk management of traffic exhaust pollution.

Dynamic Management of Environmental Risk of Urban Traffic Exhaust Pollution Based on Taxi Trail Big Data