复杂网络中观交通流动态限速控制策略研究

doi:10.13306/j.1672-3813.2017.04.003

复杂系统与复杂性科学

2017, Vol. 14

Issue (4): 32-42 DOI: 10.13306/j.1672-3813.2017.04.003

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复杂网络中观交通流动态限速控制策略研究

李树彬¹, 傅白白^2a, 孙涛³, 党文修¹, 高歌^2b

1.山东警察学院交通管理工程系,济南 250014;
2.山东建筑大学a.建筑城规学院,b.交通工程学院,济南 250101;
3.山东省公安厅交通管理局,济南 250031

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

LI Shubin¹, FU Baibai^2a, SUN Tao³, DANG Wenxiu¹, GAO Ge^2b

1.Department Traffic Management Engineering, Shandong Police College, Jinan, 250014, China;
2.a.School of Architecture and Urban Planning, b.School of traffic engineering, Shandong Jianzhu University, Jinan 250101, China;
3.Traffic Management Bureau, Public Security Department of Shandong Province, Jinan 250031, China

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摘要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。

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	李树彬
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	高歌

关键词 ：复杂网络, 可变限速, 交通流, 仿真模型, 控制策略

Abstract：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.

Key words： complex network variable speed limit traffic flow simulation model control strategy

收稿日期: 2017-03-08 出版日期: 2019-01-16

ZTFLH:

U491

基金资助:国家自然科学基金(71471104、71371026、71571109);山东省高等学校科技计划项目(J17KA211);山东省公安厅科技专项(GATHT2015-236);济南市社会民生重大专项(201509005)

通讯作者: 傅白白(1961),女,山东济南人,博士,教授,主要研究方向为复杂性科学、交通规划与管理。

作者简介: 李树彬(1977-),男,山东聊城人,博士,副教授,主要研究方向为智能交通系统、系统分析与集成。

引用本文:

李树彬, 傅白白, 孙涛, 党文修, 高歌. 复杂网络中观交通流动态限速控制策略研究[J]. 复杂系统与复杂性科学, 2017, 14(4): 32-42.
LI Shubin, FU Baibai, SUN Tao, DANG Wenxiu, GAO Ge. Research on Complex Network Mesoscopic Traffic Flow with Dynamic Limit Speed Control Strategies. Complex Systems and Complexity Science, 2017, 14(4): 32-42.

链接本文:

http://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2017.04.003 或 http://fzkx.qdu.edu.cn/CN/Y2017/V14/I4/32

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