交通流随机行为的研究进展  

Research on Stochastic Behavior of Traffic flow

作　　者：张继业[1] 郑伟范[1,2] 

机构地区：[1]西南交通大学牵引动力国家实验室,四川成都610031 [2]西南交通大学信息化研究院,四川成都610031

出　　处：《西南交通大学学报》2016年第3期534-545,共12页Journal of Southwest Jiaotong University

基　　金：国家自然科学基金资助项目(11572264;11172247;61373009)

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.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 ~volution 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 mesoscopie gas dynamic models, the cellular automatic models. Interaetional 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.

关 键 词：交通流 随机行为 建模 相互作用势 

分 类 号：U461.7[机械工程—车辆工程]