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The proposal of China's dual-carbon strategy has put forward new requirements for the operation of Suburban railway trains, which should minimize carbon emissions during operation under the premise of satisfying the dynamics of Suburban railway passenger flows, and further realize the low-carbon greening of urban (suburban) travel. In this paper, we consider the dynamics of passenger flows from the uneven arrival of passengers during the peak period, and establish a multiobjective optimization model of Suburban train stopping scheme with the objectives of minimizing the broad travel cost of passengers, minimizing the carbon emission cost of enterprises, and minimizing the operating cost of enterprises by integrating the three aspects of passengers, enterprises and environment. The NSGA-II algorithm is designed by combining the characteristics of urban (suburban) passenger flow and passenger mode choice. After analyzing the results of the algorithm, the stopping scheme determined by the model can effectively reduce travel time, carbon emissions and operating costs.
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