基于统计特性的城市快速路交通流状态划分

交通运输系统工程与信息 ›› 2007, Vol. 7 ›› Issue (5): 42-50 .

基于统计特性的城市快速路交通流状态划分

关伟，何蜀燕

北京交通大学交通运输学院系统工程与控制研究所，北京，100044

收稿日期:2007-06-22 修回日期:1900-01-01 出版日期:2007-10-20 发布日期:2007-10-20

Phases Identification of Urban Freeway Traffic on Based Statistical Properties

Guan Wei, He Shuyan

School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044

Received:2007-06-22 Revised:1900-01-01 Online:2007-10-20 Published:2007-10-20

摘要/Abstract

摘要： 目前交通流理论研究的主要对象为高速公路，与其相比，城市快速路交通流则具有明显不同的特点。交通科学是一门实证科学，本文在实证数据的基础上，首先对城市快速路交通流速度概率分布进行了研究，分析了在不同密度条件下速度概率分布的特性。在此基础上，在流—密平面中将交通流划分为自由流、谐动流、同步流和堵塞4个稳态相位，并具体讨论了各个相位的性质，定量标定了每个相位的区域范围。

关键词: 城市快速路, 交通流理论, 交通流状态划分, 统计分析

Abstract: At present, researches on traffic flow theory mainly focus on highway traffic, which is significantly different from urban freeway. Because traffic science is an “empirical science”, based on actual traffic flow data of urban freeway, the statistical features of velocity distribution at different density have been investigated in this paper. Then, four steady phases: free flow, coherent-moving flow, synchronized flow and jam are identified in flowrate-density plane of traffic flow. Finally, features of the four phases as well as functional forms of phase boundaries have been discussed in detail.

Key words: urban freeway, traffic flow theory, phase identification, statistical analysis

中图分类号:

U491.265

关伟,何蜀燕. 基于统计特性的城市快速路交通流状态划分[J]. 交通运输系统工程与信息, 2007, 7(5): 42-50 .

Guan Wei, He Shuyan. Phases Identification of Urban Freeway Traffic on Based Statistical Properties [J]. Journal of Transportation Systems Engineering and Information Technology, 2007, 7(5): 42-50 .

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/abstract/abstract17577.shtml

http://www.tseit.org.cn/CN/Y2007/V7/I5/42

参考文献

1. Helbing, D., et al., Micro- and macro-simulation of freeway traffic. Mathematical and Computer Modeling, 2002. 35: p. 547.
2. Kerner, B.S., Three-phase traffic theory and highway capacity. Physica A: Statistical Mechanics and its Applications, 2004. 333: p. 379-440.
3. Treiber, M., A. Kesting, and D. Helbing, Delays, inaccuracies and anticipation in microscopic traffic models. Physica A: Statistical Mechanics and its Applications, 2006. 360(1): p. 71-88.
4. Jiang, R. and Q.S. Wu, Spatial-temporal patterns at an isolated on-ramp in a new cellular automata model based on three-phase traffic theory. Journal of Physics A: Mathematical and General, 2004. 37(34): p. 8197-8213.
5. 唐铁桥, 黄海军, 薛郁, 一种改进的两车道交通流格子模型. 物理学报, 2006. 55(8): p. 4026-4031.
Tang, T.Q., H.J. Huang and Y. Xue, An improved two-lane traffic flow lattice model. Acta Physica Sinica, 2006. 55(8): p. 4026-4031.
6. Wang, B.-H., et al., Analytical results for the steady state of traffic flow models with stochastic delay. Physical Review E, 1998. 58(3): p. 2876.
7. Xue, Y. and S.-Q. Dai, Continuum traffic model with the consideration of two delay time scales. Physical Review E, 2003. 68(6): p. 066123.
8. Guan, W., A Qualitative Model of Cross-Lane Inhomogeneities in Traffic Flow. IEEE Transactions on Intelligent Transportation Systems, 2004. 5(3): p. 188-199.
9. Guan, W. and H. Hu, Qualitative Analysis of Traffic Jam Formation in Urban Ring Road, in Proceedings of 8th International IEEE Conference on ITS. 2005: Vienna, Austria. p. 496-501.
10. Helbing, D., Fundamentals of traffic flow. Physical Review E, 1997. 55(3): p. 3735.
11. Kerner, B.S., The Physics of Traffic: Empirical Freeway Pattern Features, Engineering Applications, and Theory. 2004: Springer.
12. 孟祥海，李士莲。大城市快速路及主干路路阻系数的研究[J].交通运输系统工程与信息，2005，5（4）：31-34.[ MENG Xiang-hai, LI Shi-lian. Study on the impedance funetions of urban express way and main-road[J]. Journal of Transportation Systems Engineering and Information Technology,2005,5(4):31-34.]

[1]	宋现敏, 张璐雨, 白乔文, 王鑫. 快速路入口匝道与衔接交叉口联动控制优化方法[J]. 交通运输系统工程与信息, 2021, 21(6): 63-73.
[2]	贺正冰, 徐瑞康, 谢东繁, 宗芳, 钟任新. 数据驱动跟驰模型综述[J]. 交通运输系统工程与信息, 2021, 21(5): 102-113.
[3]	田钧方, 朱陈强, 贾宁, 马寿峰. 基于轨迹数据的车辆跟驰行为分析与建模综述[J]. 交通运输系统工程与信息, 2021, 21(5): 148-159.
[4]	江竹，林豪，李树彬，雷震宇. 城市快速路分层分布式优化控制方法研究[J]. 交通运输系统工程与信息, 2020, 20(2): 101-106.
[5]	庞明宝，安少怡. 快速路与邻接交叉口分散换道和速度引导方法[J]. 交通运输系统工程与信息, 2019, 19(6): 168-175.
[6]	夏运达，赵杨. 考虑前后车速度和减速幅度的元胞自动机模型[J]. 交通运输系统工程与信息, 2019, 19(2): 73-79.
[7]	刘莹莹，李健，陈小鸿. 城市快速路车速离散特征及其影响因素研究[J]. 交通运输系统工程与信息, 2018, 18(5): 111-120.
[8]	曲昭伟，奇兴族，陈永恒，陶楚青，白乔文，刘芳宏. 逆向可变车道释放特性及其安全评价[J]. 交通运输系统工程与信息, 2018, 18(4): 76-82.
[9]	庞明宝，刁化尧，赵冰心，黄玉满. 基于复杂网络同步城市快速路协调控制研究[J]. 交通运输系统工程与信息, 2018, 18(3): 29-35.
[10]	帅斌，黄文成，张士行，庞登瑀，何晓峰. 我国城际铁路建设条件指标体系建立及求解[J]. 交通运输系统工程与信息, 2018, 18(1): 30-36.
[11]	宋现敏，邓晓磊，李丽丽，杨秋杰，白乔文，罗瑞琪. 信号控制下人行横道宽度优化模型[J]. 交通运输系统工程与信息, 2017, 17(6): 85-93.
[12]	周继彪，王群燕，张敏捷，董升，张水潮. 7 种因素对电动自行车忍耐时间的实证研究[J]. 交通运输系统工程与信息, 2017, 17(5): 242-249.
[13]	杨龙海，赵顺，徐洪. 基于改进优化速度函数的跟驰模型研究[J]. 交通运输系统工程与信息, 2017, 17(2): 41-46.
[14]	赵晓华，陈晨，伍毅平，荣建，刘莹，程颖，胡莹. 出租车驾驶员驾驶行为对油耗的影响及潜力分析[J]. 交通运输系统工程与信息, 2015, 15(4): 85-91.
[15]	JERMSURAWONG Jermsak,AHSAN Umair,HAIDAR Abdulhamid,DONG Haiwei，MAVRIDIS Nikolaos. 基于单摄像机空位检测技术的全天停车需求分析[J]. 交通运输系统工程与信息, 2014, 14(2): 33-44.