Mathematical Modeling Study on Carbon Emission Control by Green Transportation Network Planning in Urban Agglomerations

Under the green transportation theory, three low-carbon transportation characteristics are summarized, which mainly cover systematicity, bi-directionality and relativity, and the urban transportation scale carbon emission measurement formula is derived. In order to satisfy residents’ travel and carbon control demands simultaneously, a carbon emission modeling research program based on the CE-ALINEA algorithm is developed, and real-time carbon emission measurement indexes are determined. A simulation experiment is designed based on the interweaving of an entrance/exit ramp and the main line in the north-south elevated area to investigate transportation planning under low carbon demand. Using the CE-ALINEA control scheme, the average emission reduction from 1min to 5min is 44.66kg, while the best emission reduction effect is achieved under the 1min control cycle, with an emission reduction of 61.38kg, and in terms of the overall performance, the CE-ALINEA control algorithm has a higher priority. The status quo carbon emission is 31.9kg, among the 1~4 planning schemes, the carbon emission control effect of scheme 2 is the best, and the reduction ratio of carbon emission relative to the status quo is 13.66%, that is, when 30% of private motorized transportation is transferred to public transportation, the total carbon emission of urban transportation is the smallest, and it reduces by 13.66% compared with the status quo, which verifies that the spatial layout of the city has a carbon emission locking effect on urban transportation carbon emissions.