Study on Carbon Emission Calculation Method in Interaction Behavior of Inland Ships

In the context of global carbon emission reduction, as an important source of carbon emission, the accurate calculation of carbon emission from ships has been concerned. AIS, as a navigational guidance and AIDS equipment that is forcibly installed on ships, provides a good data basis for calculating ship carbon emission. At present, most studies tend to use “bottom-up” Ship carbon emission accounting methods to deal with a large amount of AIS data aiming to obtain carbon emission on a wide spatio-temporal scale. On the one hand, the massive AIS data make the refined AIS data completion and ship navigation state recognition complicated and difficult to achieve. On the other hand, the accuracy of the calculation results of ship carbon emission based on AIS data is very dependent on the accurate recognition of ship navigation state. This makes further calculation of ship carbon emission difficult. Therefore, this paper proposes a calculation method of ship carbon emission that focuses on ship interaction behavior and is applicable to massive AIS data. First, this study proposes a new recognition method of ship interaction, which realizes efficient recognition of ship interaction and obtaining spatial and temporal distribution characteristics. Secondly, this study improves a ship navigation recognition method, with which combining ship interaction recognition method can improve the calculation speed. Finally, this paper builds a simple visualization system of carbon emissions from ships, which can calculate carbon emissions and display them in the form of heat map. To verify the feasibility of this study, this paper conducts four experiments, respectively showing the performance of improved ship navigation state recognition algorithm, the relationship between ship navigation state and ship interaction, improvement of calculation speed using method in this paper and carbon emission calculation result with description of accuracy.