李明伟, 杨鑫. 基于MOP模型的ITS对城市交通运输效率的优化研究[J]. 信阳师范学院学报(自然科学版), 2018, 31(4): 671-676. DOI: 10.3969/j.issn.1003-0972.2018.04.030
引用本文: 李明伟, 杨鑫. 基于MOP模型的ITS对城市交通运输效率的优化研究[J]. 信阳师范学院学报(自然科学版), 2018, 31(4): 671-676. DOI: 10.3969/j.issn.1003-0972.2018.04.030
LI Mingwei, YANG Xin. Research on the Efficiency Optimization of ITS to Urban Road Transportation Based on the MOP Model[J]. Journal of Xinyang Normal University (Natural Science Edition), 2018, 31(4): 671-676. DOI: 10.3969/j.issn.1003-0972.2018.04.030
Citation: LI Mingwei, YANG Xin. Research on the Efficiency Optimization of ITS to Urban Road Transportation Based on the MOP Model[J]. Journal of Xinyang Normal University (Natural Science Edition), 2018, 31(4): 671-676. DOI: 10.3969/j.issn.1003-0972.2018.04.030

基于MOP模型的ITS对城市交通运输效率的优化研究

Research on the Efficiency Optimization of ITS to Urban Road Transportation Based on the MOP Model

  • 摘要: 智能交通系统(ITS)作为协调各种交通方式和改善运输效率的主要途径,受众多因素影响导致应用效益折减,如何根据交通实际需求,凝练ITS优化运输效率的方案是ITS发展面临的重大任务.通过明确ITS对交通运输效率优化的目标和影响因素,以不同交通方式客运周转量为主要指标,构建ITS优化城市交通运行效率的多目标规划模型(MOP模型),并以北京市为例进行实证.研究结果显示,ITS是不同交通方式达到预期目标的支撑,并基于此提出了在保证交通运行效率最优时各交通方式完成的目标客运周转量.

     

    Abstract: Intelligent Transportation System (ITS) has become the inevitable trend and the main ways to improve the efficiency of road network traffic. However, ITS application in traffic is influenced by many factors, which discounted the benefit to a great extent. Therefore, how to refine the optimization scheme of ITS on transport efficiency is a major task that the urban traffic faced, according to the actual needs of urban traffic. Through analyzing, the optimization goal and influencing factors are firstly cleared. Then the passenger person-kilometer of different traffic modes is selected as the main indicator. Moreover, the multi-objective planning method is selected and the MOP model of ITS to urban road network traffic efficiency is built. Furthermore, Beijing is selected as an example for empirical study. Research results show that the application of ITS is the support of different transportation to achieve the expected goal. Then the transportation turnover is put forward to ensure the optimal efficiency of network operation.

     

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