用模糊逻辑方法建立运输系统运行过程的数学模型

L. Kozachok, A. Kozachok
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引用次数: 0

摘要

文章强调,改进城市客运线路的管理,寻找和运用新的工作优化方法,是考虑运输系统中组织线路运输的主要任务。寻找这些方法的目的是为了合理利用资源、车辆,满足人群在出行中的需求,提高在客运中的服务质量。为实现城市客运线路工作的优化管理,我们将以线路车辆运行时间表的构建为目标,即制定交通放行时间表,合理组织工作。这些时间表的制定考虑到企业车队的有效使用,确保乘客运输的安全,并降低为人口服务的成本。本文采用模糊逻辑方法对某段交通运输网的客运量及其路线的运行进行了研究,得到了考虑服务时间最小化和旅客对交通工具使用满意度最大化的结果。在这种情况下,在寻找解决方案的过程中处理不准确概念的机制正在实现,我们可以将输入数据想象为执行逻辑操作的模糊集。在本研究中,乘客需求满意度的数值表达式是由属于多个时间区间的函数来选择的,而乘客需求满意度的数值表达式是由在这些时间区间内找到最优时刻表的目标函数来选择的。寻找解决方案时要考虑到适用于车辆使用时间间隔的限制系统。同时,最优性准则反映了调度工作的成本,包括车辆运行时间成本和乘客沿路线行驶时的等待时间成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MATHEMATICAL MODEL CONSTRUCTION OF TRANSPORT SYSTEMS OPERATION PROCESSES USING FUZZY LOGIC METHODS
The article emphasizes that the improvement of management, finding and using of new methods of work optimization on the routes of urban passenger transport are the main tasks of organizing route transportation in the considered transport systems. The search for these methods is aimed at the rational use of resources, vehicles, to meet the needs of the population in travel and improve the quality of service in the implementation of passenger traffic. To ensure optimal management of work on the route of urban passenger transport, we will take as a goal the construction of a timetable for the movement of vehicles on the route, namely the creation of schedules for the release of transport and rational organization of work. The creation of these schedules takes into account the effective using use of the car fleet of enterprises, ensuring the safety of passenger transportation, and reducing the cost of services for the population. In this article, the study of passenger traffic on a certain section of the transport network and the operation of the route on it are considered using fuzzy logical methods, which gives the result of the consideration of service time minimization and maximum level of passenger satisfaction with the use of transport. In this case, the mechanism of working with inaccurate concepts in the process of finding a solution is implementing, we can imagine the input data as fuzzy sets on which logical actions are carried out. In this study, the numerical expression of the degree of satisfaction of passenger’s needs is chosen by the function of belonging to several time intervals, which is selected by the target function of finding the optimal schedule in these time intervals. The search for a solution takes into account the system of restrictions that apply to the time intervals of vehicles using. At the same time, the criterion of optimality reflects the cost of the schedule working, which includes the cost of operating time of vehicles and the cost of waiting time for passengers when traveling along the route.
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