基于交通实测的交通流密度特性分析
PDF下载 (447)祝会兵 1,郭丽敏 1,张柠溪 2,郭明旻 3,费 莉 1.基于交通实测的交通流密度特性分析[J].宁波大学学报(理工版),2015,28(04):20-24.DOI:
ZHU Hui-bing 1,GUO Li-min 1,ZHANG Ning-xi 2,GUO Ming-min 3,FEI Li 1.Density Property of Traffic Flow based on Traffic Measurement[J].Journal of Ningbo University(Natural Science & Engineering Edition),2015,28(04):20-24.DOI:
| Title: | Density Property of Traffic Flow based on Traffic Measurement |
| 作者: | 祝会兵 1, 郭丽敏 1, 张柠溪 2, 郭明旻 3, 费 莉 1 |
| Author(s): | ZHU Hui-bing 1, GUO Li-min 1, ZHANG Ning-xi 2, GUO Ming-min 3, FEI Li 1 |
| 关键词: | 城市交通; 概率密度; 统计分析; 车辆密度; 贝塔分布 |
| Keywords: | urban traffic; probability density; statistical analysis; vehicle density; beta distribution |
| 分类号: | TP391 |
| 文献标识码: | A |
| 摘要: | 为揭示交通流密度的本质特征, 对上海延安高架和郑州金水路高架上交通流实测密度值进行了统计分析. 利用贝塔函数对数据进行曲线拟合, 得出了车辆密度的概率密度分布基本符合贝塔分布的结论; 进而基于NaSch元胞自动机交通流模型, 考虑车辆密度的概率密度特征, 通过数值模拟得到了交通流的流量—密度图, 呈现出一个二维分布的区域, 与实测结果吻合良好, 进一步验证了车辆密度的概率密度特征. 结论可为交通流建模以及交通工程的规划和管理提供理论参考. |
| Abstract: | The probability density characteristic of the vehicle density is investigated based on the empirical data obtained from the Yan’an Elevated Road of Shanghai and Jinshui Elevated Road of Zhengzhou, for the purpose of exploring the properties of traffic density. It is found that the probability densities of the vehicle density agree well with the Beta function by means of curve fitting. Taking the properties into account, the numerical simulation is carried out based on the NaSch model. The result is obtained in the form of the flux-density diagram. It is shown that the steady state of the congested traffic occupies a two-dimensional region in the flow-density plane, and is in much better agreement with the traffic measured data. In so doing, the probability density characteristic of the vehicle density is thus reconfirmed. |
| 参考文献 /References: | [1] Gazis D C, Knapp C H. On line estimation of traffic densities from time series of flow and speed data[J]. Transportation Sciences, 1971, 5(3):283-301. [2] 丹尼尔 L 鸠洛夫, 马休 J 休伯. 交通流理论[M]. 蒋璜, 译. 北京: 人民交通出版社, 1983:125-188. [3] 胡小文, 杨东援. 城市快速道路交通流密度的估计[J]. 交通运输系统工程与信息, 2008, 8(3): 79-82. [4] 吴正, 朱辉, 贾南. 基于快速路交通录像的交通流模型参数测量方法研究[J]. 复旦学报: 自然科学版, 2008, 47(2):147-152. [5] Tang Tieqiao, Wang yunpeng, Yang Xiaobao, et al. A multilane traffic flow model accounting for lane width, lane-changing and the number of lanes[J]. Netw Spat Econ, 2014, 14: 465-483. [6] 吴正, 郭明旻. 交通实测视频与数据共享平台[EB/OL]. [2014-11-18]. http://traflow.fudan.edu.cn/index.html. [7] 林展熙, 吴正, 杨朝晖, 等. 基于上海延安高架录像资料的交通流实测研究[J]. 水动力学研究与进展: A辑, 2010, 25(5):683-693. [8] 吴胜春, 郑贤清, 郭明旻, 等. 国内典型大城市快速路交通流实测[J]. 中国科学: 物理学、力学、天文学, 2011, 41(6):791-800. [9] Nagel K, Schreckenberg M. A cellular automaton model for freeway traffic[J]. J Phys I(France), 1992, 2(12):2221- 2233. [10] Kerner B S. Empirical macroscopic features of spatial- temporal traffic patterns at highway bottlenecks[J]. Phys Rev E, 2002, 65:46138-46141. [11] Kerner B S. Complexity of spatiotemporal traffic pheno- mena in flow of identical drivers: Explanation based on fundamental hypothesis of three-phase theory[J]. Phys Rev E, 2012, 85:36110-36115. |
| 备注/Memo: | 收稿日期: 2015-06-13. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 国家重点基础研究发展计划（2012CB725404）; 国家自然科学基金（11372147）; 宁波大学王宽诚基金. 第一作者: 祝会兵（1966－）, 女, 浙江宁波人, 博士/教授. 主要研究方向: 交通流动力学. E-mail: zhuhuibing@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
