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浙江大学学报(工学版)  2018, Vol. 52 Issue (7): 1338-1344    DOI: 10.3785/j.issn.1008-973X.2018.07.014
土木工程、交通工程     
基于移动检测数据的宏观基本图特征
张帅超1, 朱谊2, 陈喜群1
1. 浙江大学 建筑工程学院, 浙江 杭州 310058;
2. 瑞典皇家理工学院 建筑与建设环境学院, 瑞典 斯德哥尔摩 SE-100 44
Characteristic of macroscopic fundamental diagrams based on mobile sensing data
ZHANG Shuai-chao1, ZHU Yi2, CHEN Xi-qun1
1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China;
2. Architecture and Civil Engineering, KTH Royal Institute of Technology, Stockholm SE-100 44, Kingdom of Sweden
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摘要:

为了实时检测和评价城市交通网络的拥堵态势,发掘城市网络交通流的内在特性,构建基于移动检测数据的交通网络宏观基本图(MFD),分析MFD的特征和变化规律.在移动车辆渗透率非均匀分布的条件下,结合固定检测器数据,利用可变渗透率对MFD进行估计.以杭州市为例,利用7 109辆出租车的GPS轨迹数据,研究交通网络MFD特征.结果表明,提出的分段取平均值作为该区间扩展系数的计算方法,相较于直接采用平均值作为整体统一扩展系数的计算方法,能够更加有效地应用于城市道路网络的实时交通状态监测.

Abstract:

An approach to reconstruct the macroscopic fundamental diagram (MFD) was proposed based on probe data in order to detect and evaluate the congestion of urban traffic network in real time, and analyze the inherent characteristic of urban traffic flow on road network. The characteristics and variation patterns of MFD were analyzed. Given the non-homogeneous distribution of probe penetration rates, procedures were presented to magnify MFD variables with varying penetration rates estimated by the GPS data combined with the fixed detections. The accuracy and the characteristic of MFD were tested with trajectories of 7 109 taxis in Hangzhou, China. An estimation method of expansion coefficients was presented for the MFD reconstruction, using piecewise mean according to the ranges of the flow rate and density, respectively. The method generates a more accurate MFD that can be useful to inform real-time traffic monitoring required to implement control strategies in the field compared with the historical mean as the uniform expansion coefficient.

收稿日期: 2017-04-25 出版日期: 2018-06-26
CLC:  F572  
基金资助:

浙江省自然科学基金资助项目(LR17E080002);国家自然科学基金资助项目(51508505,71771198,51338008);浙江省重点研发计划资助项目(2018C01007);中央高校基本科研业务费资助项目(2017QNA4025).

通讯作者: 陈喜群,男,研究员.orcid.org/0000-0001-8285-084X.     E-mail: chenxiqun@zju.edu.cn
作者简介: 张帅超(1990-),男,博士生,从事交通大数据分析研究.orcid.org/0000-0001-5552-5996.E-mail:sczhang@zju.edu.cn
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引用本文:

张帅超, 朱谊, 陈喜群. 基于移动检测数据的宏观基本图特征[J]. 浙江大学学报(工学版), 2018, 52(7): 1338-1344.

ZHANG Shuai-chao, ZHU Yi, CHEN Xi-qun. Characteristic of macroscopic fundamental diagrams based on mobile sensing data. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2018, 52(7): 1338-1344.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2018.07.014        http://www.zjujournals.com/eng/CN/Y2018/V52/I7/1338

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