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交通流随机行为的研究进展

张继业,  郑伟范

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张继业, 郑伟范. 交通流随机行为的研究进展[J]. 西南交通大学学报, 2016, 29(3): 534-545. doi: 10.3969/j.issn.0258-2724.2016.03.012
引用本文: 张继业, 郑伟范. 交通流随机行为的研究进展[J]. 西南交通大学学报, 2016, 29(3): 534-545. doi: 10.3969/j.issn.0258-2724.2016.03.012
shu
ZHANG Jiye, ZHENG Weifan. Research on Stochastic Behavior of Traffic flow[J]. Journal of Southwest Jiaotong University, 2016, 29(3): 534-545. doi: 10.3969/j.issn.0258-2724.2016.03.012
Citation: ZHANG Jiye, ZHENG Weifan. Research on Stochastic Behavior of Traffic flow[J]. Journal of Southwest Jiaotong University, 2016, 29(3): 534-545. doi: 10.3969/j.issn.0258-2724.2016.03.012
shu

交通流随机行为的研究进展

doi: 10.3969/j.issn.0258-2724.2016.03.012
基金项目: 

国家自然科学基金资助项目(11572264,11172247,61373009)

详细信息
    作者简介:

    张继业(1965-),博士,1998年起至今任职于在西南交通大学,现为牵引动力国家重点实验室教授,博士生导师.主要研究方向为列车流固耦合动力学与控制、复杂系统稳定性与控制、智能交通及智能车辆.主持多项国家自然科学基金项目、科技支撑计划项目、中国铁路总公司(原铁道部)科技研究开发计划等资助项目,发表论文200多篇. E-mail:jyzhang@home.swjtu.edu.cn

Research on Stochastic Behavior of Traffic flow

    摘要
  • 摘要: 随着人口和车辆的不断增加,道路发展难以满足车辆交通的需要,交通拥塞等问题日益严重.由于交通流的动态、随机、非线性、多行为主体等特征,进一步增加了交通流问题的复杂性.交通流随机行为的研究对于理解交通流的内在演化规律、管理和控制交通流具有重要作用.目前在该领域的研究已经形成了相应理论体系,建立了系列模型,并不断在实际交通中应用.本文对交通流随机行为相关的研究进行了总结,讨论了随机相互作用无关的模型如微观跟驰模型、宏观流体力学模型、介观气体动理论模型、元胞自动机模型、随机过程模型,随机相互作用相关的模型如势强度相关模型,加权顾前势模型等.通过对目前研究现状的总结和分析,对未来交通流随机影响因素及随机动力学的建模与分析进行了展望.

     

    Abstract: With the increase of population and vehicles, the development of roads is difficult to meet the needs of vehicle traffic, traffic congestion and other issues become serious. Due to the dynamic, stochastic, non-linear and multi-behavior subject characteristics of traffic flow, the complexity of traffic flow is increased. Therefore, research on the stochastic behavior of traffic flow is important for understanding the intrinsic evolution rules of traffic systems. At present, a series of models were established in this field, the corresponding theoretical systems were formed, and continuously be applied in traffic. In this paper, the stochastic behavior of traffic flow is reviewed, the main method and development condition of various kinds of theoretical models are discussed. These models mainly include independent interactional models, such as the microscopic following models, the macroscopic fluid dynamics models, the mesoscopic gas dynamic models, the cellular automatic models. Interactional models, such as the interactional potential models and the weighted interactional potential models et al. Based on the summary and analysis of the present research, the future research on stochastic impact factors and the analysis of stochastic dynamics of traffic flow is prospected.

     

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  • 收稿日期:  2015-10-26
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