交通拥挤控制的实时决策支持模型

Real-time Decision Support Model for Traffic Congestion Control

针对交通拥挤的快速检测和控制问题,设计了一种基于管理者知识和经验,能够实时反映交通拥挤状况的决策支持模型.设计的自动决策支持模型中包含了概念模型和推理模型,推理模型中集成了交通拥挤自动检测算法和拥挤交通量控制方案选择的模糊推理算法.研究结果表明,采用自动决策支持模型能在一定程度上取代交通管理者对拥挤的管理,从而提高拥挤管理的效率和决策质量.

Aimed at resolving the quick measurement and control of traffic congestion, a real-time decision support model, which can reflect timely traffic congestion situations, is designed based on managers＇ knowledge and experiences. This model contains two parts, one is conceptive model and the other one is reasoning model. The fuzzy reasoning algorithm of traffic control and the automatic detection algorithm for traffic congestion are integrated in the reasoning model. The results show that this real-time decision support model can take place of traffic engineers＇ management works and raise the efficiency of congestion management.