复杂网络中观交通流动态限速控制策略研究

为研究大数据时代下的复杂性科学问题,利用当前新兴的复杂网络理论结合改进的交通流仿真模型,研究可变限速对动态交通的影响,进而分析了不同的网络结构下最优的可变限速控制策略。结果表明最优的可变限速控制策略可以优化网络的交通状态。结论有助于帮助交通管理部门提出合理的交通规划方案以及制定有效的交通管理及控制措施。

Research on Complex Network Mesoscopic Traffic Flow with Dynamic Limit Speed Control Strategies

Complexity science,as a new crossing discipline,has penetrated into every field of economy and society.The purpose of this paper is to study the complexity of science in the era of big data.Based on complex network theory combined with the improved traffic flow simulation model,this paper studies effect of VSL to dynamic traffic,and then analyzes the optimal control strategy of VSL in different network topology.The results show that the optimal variable speed limit control strategy can optimize the traffic state of the network.The conclusion of this research is meaningful to put forward some reasonable transportation plan and develop effective traffic management and control measures to help department of traffic management.