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针对高速公路匝道控制中单一性能指标评价具有片面性的问题,提出了一个基于多性能指标优化的高速公路匝道控制方法。在应用METANET模型进行交通流特性与控制建模的基础上,设计了主线运营效益、排队长度和排队公平指数3个性能指标,用于描述高速公路路网的运营效率和公平性。根据Pareto原理,利用非支配性快速遗传算法对多个性能指标进行综合优化,依据所求得的较优解集筛选最优解。以宁杭高速溧水—江宁段的匝道控制为例,从Pareto最优解筛选、排队长度的变化状况、控制效果比选等方面进行了比较。分析结果表明:该方法可综合考虑多个指标,减少对工作经验的依赖,使匝道控制效果在效率和公平的博弈中达到最好。
Aimed at the one-sidedness of evaluating single performance index in expressway ramp control, a highway ramp control method based on multi-performance index optimization is proposed. On the basis of applying METANET model to traffic flow characteristics and control modeling, three performance indexes of mainline operation benefit, queuing length and queuing fairness index are designed to describe the operation efficiency and fairness of expressway network. According to the principle of Pareto, the non-dominated rapid genetic algorithm is used to optimize multiple performance indicators, and the optimal solution is screened based on the obtained optimal solution set. Take the ramp control of Lishui - Jiangning section of Nanjing-Hangzhou high-speed as an example, this paper compares the selection of Pareto optimal solution, the change of queue length and the comparison of control effects. The analysis results show that this method can comprehensively consider multiple indicators and reduce the dependence on working experience, so that the ramp control effect can reach the best in the game of efficiency and fairness.