CAJ | 학술논문

针对轨道交通列车节约能耗、节省时间和提高舒适度等因素之间的冲突问题，建立了以工况转换点为求解目标的多约束条件下列车运行优化控制模型，并提出了弯道优行法的列车通行原则，优化了弯道运行策略.对模型进行分析，应用遗传算法对该问题进行求解，最后采用MATLAB软件进行仿真验证.仿真结果表明，该模型方法能够有效的优化列车运行模式，在运行时间只延长11.96%的情况下，能耗降低了33.27%，并保证了乘客的舒适度，最终得到了比较理想的运行策略.
침대궤도교통열차절약능모、절성시간화제고서괄도등인소지간적충돌문제，건립료이공황전환점위구해목표적다약속조건하열차운행우화공제모형，병제출료만도우행법적열차통행원칙，우화료만도운행책략.대모형진행분석，응용유전산법대해문제진행구해，최후채용MATLAB연건진행방진험증.방진결과표명，해모형방법능구유효적우화열차운행모식，재운행시간지연장11.96%적정황하，능모강저료33.27%，병보증료승객적서괄도，최종득도료비교이상적운행책략.
To solve the conflict of energy-saving, time-saving and comfort better, the train operation optimization control model is built under many constraints, and the condition conversion points are the goals for the model. And Optimal Operation of the Bend (OOB) is proposed as the rule for train, the operation strategy for the corners is optimized. By analyzing the model, Genetic Algorithm (GA) is used to solve this optimization model. In the end, a simulation is made to validate the model with MATLAB. From the case analysis, it proves the effectiveness of the given method to optimize the operation model, which reduces the energy consumption by 33.27% with only 11.96% extended at run time. At last, the good operation strategy is given.