车辆长度和速度对双车道交通流的影响

doi:10.3969/j.issn.0258-2724.2013.02.023

潘卫军^1,2,
杨凯^1,,

基金项目:

国家自然科学基金重点资助项目(60832011)

详细信息

通讯作者:
杨凯(1978-),男,讲师,博士研究生,研究方向为计算机图形图像处理与应用系统,电话:13880161679,E-mail:yangkai@scu.edu.cn

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出版历程
- 收稿日期:2011-12-23
- 刊出日期:2013-04-25

Influence of Vehicle Length and Velocity on Mixed Traffic Flow in Two-Lane Traffic Flow

PAN Weijun^1,2,
YANG Kai^1,,

摘要

摘要:为研究大型车辆转道及敏感驾驶行为对公路交通的影响,在SDNS(Sensitive Driving Nash)交通流模型基础上,引入长短车辆转道规则,假定双车道上同时存在长度和最大速度均不同的车辆,建立混合交通流模型.在周期性边界条件下,模拟得到当转道概率、混合比例、减速概率、车辆长度、速度等参数改变时,混合交通流的速度、流量与密度的基本图.仿真结果表明,系统临界密度、最大平均速度、流量随减速概率增加而减小;当慢速长车占总车辆比例大于50%时,更容易产生阻塞,此时车辆转道成功率小于5%;当系统中长车比例为50%时,流量峰值仅为0.42,比全小车的情况减少了20%;长车是造成转道困难的主要因素,当转道概率均为50%时,系统长车比例从25%增加至75%,转道成功率最大值由6.32%减少至2.78%.
- 转道规则/
- 元胞自动机/
- 混合交通流/
- 数值模拟
Abstract:In order to study the influence of large vehicles' lane-changing and sensitive driving behaviors on the highway traffic flow, a two-lane mixed traffic cellular automate (CA) model was built by introducing the lane-changing rule into the sensitive driving Nash (SDNS) model, on the assumption that the vehicles with different lengths and maximum velocities appear on the two lanes simultaneously. Under the periodic boundary condition, the fundamental diagrams of the mixed traffic velocity, flow, and density were obtained through numerical simulation by setting different values for parameters such as the lane-changing probability, mixing ratio, braking probability, vehicle length, and maximum velocity. The results show that the system critical density, the maximum average velocity, and the traffic flow decreases with the braking probability increasing. When the proportion of long and slow vehicles is more than 50%, the mixed traffic is more prone to congestion, and the lane-changing rate is less than 5%; when the proportion of long vehicles reaches 50%, the traffic flow peak is merely 0.42, which is 20% less than that of all small/short vehicles. The major factor causing lane changing difficult is the proportion of long vehicles. When the lane-changing probability is 50% and the proportion of long vehicles in the system increases from 25% to 75%, the maximum lane-changing rate decreases from 6.32% to 2.78%.
- lane-changing rules/
- cellular automaton/
- mixed traffic flow/
- numerical simulation

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参考文献 (18)

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