[1]常玉林,郑献予,张鹏.基于相交道路左转饱和交通量的MULTIBAND改进模型[J].郑州大学学报(工学版),2018,39(01):29-35.[doi:10.13705/j.issn.1671-6833.2018.01.006]
 Chang Yulin,Zheng Xianyu,Zhang Peng.An Advanced Multiband Model Based On Saturation Traffic Volume of Left Turning of Crossing Road[J].Journal of Zhengzhou University (Engineering Science),2018,39(01):29-35.[doi:10.13705/j.issn.1671-6833.2018.01.006]
点击复制

基于相交道路左转饱和交通量的MULTIBAND改进模型()
分享到:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
39
期数:
2018年01期
页码:
29-35
栏目:
出版日期:
2018-01-20

文章信息/Info

Title:
An Advanced Multiband Model Based On Saturation Traffic Volume of Left Turning of Crossing Road
作者:
常玉林郑献予张鹏
1.江苏大学汽车与交通工程学院,江苏镇江212013;2.东南大学 城市智能交通江苏省重点实验室,江苏南京211189
Author(s):
Chang Yulin1Zheng Xianyu2Zhang Peng2
1. School of Automotive and Transportation Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013; 2. Key Laboratory of Urban Intelligent Transportation, Southeast University, Jiangsu Province, Nanjing 211189 
关键词:
城市交通干道协调控制多带宽模型转向交通量相序延误
Keywords:
DOI:
10.13705/j.issn.1671-6833.2018.01.006
文献标志码:
A
摘要:
为降低相交道路左转饱和交通量对干线车流的影响, 提高干线协调的控制效益,在MULTIBAND模型的基础上,对于相交道路左转交通量在周期内饱和的交叉口,在计算其下游路段绿波带宽时,将相交道路的部分左转相位时间计入协调方向相位中,并在模型中考虑相交道路左转相位早闭或滞后于协调方向相位对带宽求解的影响。模型的求解和仿真表明:改进的MULTIBAND模型不仅更有利于获得最大带宽,并能有效降低干道中直行车辆的延误和交叉口停车概率,尤其是相交道路左转相位处于滞后相序时,控制效果更为明显。
Abstract:
To decrease the negative influence from the saturation volume of left turning on the arterial volume of crossing road, this advanced model added part of the left turning phase for crossing road into straight phase for arterial after calculating the bandwidth of the green-wave for downstream section of the crossroad, the sequence of the two phases related also should be mentioned when solving the model. In order to check the reliability of the model, balanced and unbalanced traffic were imported into the simulation network respectively. The result of the solution and the simulation indicated that compared with the Multiband model, both the advanced model could obtain a wider bandwidth, as well as a shorter travel delay and a smaller possibility of pulling up the car. The advanced model had a better performance especially if the left turning phase for crossing road was appeared behind the straight phase for arterial.

相似文献/References:

[1]蔺宏良,余强.基于模糊聚类的西安市区轿车行驶工况构建[J].郑州大学学报(工学版),2015,36(04):96.[doi:10.3969/ j. issn.1671-6833.2015.04.022]
 LIN Hong-liang,YU Qiang.Construction of Sedan’s Driving Cycle in Xi’an City Based on Fuzzy Clustering[J].Journal of Zhengzhou University (Engineering Science),2015,36(01):96.[doi:10.3969/ j. issn.1671-6833.2015.04.022]
[2]曾庆山,刘巍.杂草算法在城市交通用户平衡问题中的应用[J].郑州大学学报(工学版),2015,36(01):10.[doi:10.3969 / j. issn.1671 -6833.2015.01. 003]
 ZENGQing-shan,LIU Wei.Application of Invasive Weed Optimization Algorithm to the UserEquilibrium Problem of the Urban Traffic[J].Journal of Zhengzhou University (Engineering Science),2015,36(01):10.[doi:10.3969 / j. issn.1671 -6833.2015.01. 003]

更新日期/Last Update: 2018-01-23