[1]杨海飞,陆建,祁玥.基于宏观运动波和微观元胞自动机的双车道交通流混合建模[J].东南大学学报(自然科学版),2012,42(4):773-778.[doi:10.3969/j.issn.1001-0505.2012.04.037]
 Yang Haifei,Lu Jian,Qi Yue.Hybrid modeling of two-lane traffic flow based on macroscopic kinematic wave and microscopic cellular automata[J].Journal of Southeast University (Natural Science Edition),2012,42(4):773-778.[doi:10.3969/j.issn.1001-0505.2012.04.037]
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基于宏观运动波和微观元胞自动机的双车道交通流混合建模()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
42
期数:
2012年第4期
页码:
773-778
栏目:
交通运输工程
出版日期:
2012-07-20

文章信息/Info

Title:
Hybrid modeling of two-lane traffic flow based on macroscopic kinematic wave and microscopic cellular automata
作者:
杨海飞 陆建 祁玥
东南大学江苏省交通运输规划与管理重点实验室, 南京 210096
Author(s):
Yang Haifei Lu Jian Qi Yue
Key Laboratory of Transportation Planning and Management of Jiangsu Province, Southeast University, Nanjing 210096, China
关键词:
混合建模 运动波 元胞自动机 宏观/微观边界 变道
Keywords:
hybrid modeling kinematic wave cellular automata macro/micro interfaces lane-change
分类号:
U491
DOI:
10.3969/j.issn.1001-0505.2012.04.037
摘要:
基于运动波理论和线性元胞自动机模型,提出了一种宏观与微观空间表现尺度相结合的双车道交通流混合建模方法.在交通流供需理论框架下,定义了考虑车辆变道行为和元胞自动机空间离散性影响的宏观/微观边界转换条件.该边界条件能够克服在引入车辆变道行为和应用离散化的微观元胞自动机模型时所引起的交通流质量损失问题.应用混合模型模拟双车道堵塞和单车道关闭引起的交通流瓶颈现象.结果表明,交通波在经过模型空间尺度发生变化的边界时能够连续传播,传播速度并未出现降低或者振荡现象,并且交通流质量守恒.混合建模能根据各路段所需表现的空间尺度不同,应用不同空间层次的交通流模型分别模拟,有效提高了大型交通流网络的模拟效能.
Abstract:
An approach coupling with both macroscopic and microscopic traffic descriptions is presented based on the KW(kinematic wave)theory and CA(L)(cellular automata(linear))traffic flow model. Within the framework of supply-demand concept, boundary conditions for translation of traffic flow description at Macro/Micro interfaces are defined with consideration of the influence of lane-change behavior and the discrete space characteristic of CA(L)model. These boundary conditions are able to avoid the non-conservation of traffic mass caused by the introduction of lane-change behavior and the application of the discrete CA(L)model. Through the simulation of two-lane congestion and lane-drop phenomena, the results indicate that the proposed boundary conditions ensure the conservation of traffic flow mass and the traffic wave travels continuously along two sections differently described without any drop or oscillation of wave propagation speed. By the application of traffic flow models described for different spatial levels, the performance of large-scale network simulation is effectively improved.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 杨海飞(1984—),男,博士生; 陆建(联系人),男,博士,教授,博士生导师,lujian_1972@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(51178108).
引文格式: 杨海飞,陆建,祁玥.基于宏观运动波和微观元胞自动机的双车道交通流混合建模[J].东南大学学报:自然科学版,2012,42(4):773-778. [doi:10.3969/j.issn.1001-0505.2012.04.037]
更新日期/Last Update: 2012-07-20