Please wait a minute...
浙江大学学报(工学版)
JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE)  2018, Vol. 52 Issue (7): 1338-1344    DOI: 10.3785/j.issn.1008-973X.2018.07.014
Civil Engineering, Traffic Engineering     
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
Download:   PDF(4072KB) HTML
Export: BibTeX | EndNote (RIS)      

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.

Received: 25 April 2017      Published: 26 June 2018
CLC:  F572  
  U491  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Cite this article:

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.

URL:

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


基于移动检测数据的宏观基本图特征

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.

[1] DAGANZO C F. Urban gridlock:Macroscopic modeling and mitigation approaches[J]. Transportation Research Part B, 2007, 41(1):49-62.
[2] GEROLIMINIS N, DAGANZO C F. Existence ofurban-scale macroscopic fundamental diagrams:Some experimental findings[J]. Transportation Research Part B, 2008, 42(9):759-770.
[3] GAYAH V, DIXIT V. Using mobile probe data and the macroscopic fundamental diagram to estimate network densities[J]. Journal of the Transportation Research Board, 2013, 2390(-1):76-86.
[4] LECLERCQ L, CHIABAUT N, TRINQUIER B. Macroscopic fundamental diagrams:A cross-comparison of estimation methods[J]. Transportation Research Part B, 2014, 62(2):1-12.
[5] DU J, RAKHA H, GAYAH V V. Deriving macroscopic fundamental diagrams from probe data:Issues and proposed solutions[J]. Transportation Research Part C, 2015, 66:136-149.
[6] AMBVHL L, MENENDEZ M. Data fusion algorithm for macroscopic fundamental diagram estimation[J]. Transportation Research Part C, 2016, 71:184-197.
[7] GAYAH V V, DAGANZO C F. Clockwise hysteresis loops in the macroscopic fundamental diagram:an effect of network instability[J]. Transportation Research Part B, 2011, 45(4):643-655.
[8] 姬杨蓓蓓.基于仿真实验验证宏观基本图的存在性[J].武汉理工大学学报:交通科学与工程版,2013,37(5):929-933. JIYANG Bei-bei. Existence verification of macroscopic fundamental diagram (MFD) based on simulation method[J]. Journal of Wuhan University of Technology:Transportation Science and Engineering, 2013, 37(5):929-933.
[9] 马万经,廖大彬.网络交通流宏观基本图:回顾与前瞻[J].武汉理工大学学报:交通科学与工程版,2014,38(6):1266-1233. MA Wan-jing, LIAO da-bin. Progress and prospects of macroscopic fundamental diagram[J]. Journal of Wuhan University of Technology:Transportation Science and Engineering, 2014, 38(6):1266-1233.
[10] 岳圆圆.基于多源数据的北京市多层次交通流基本图研究[D].北京:北京交通大学,2015. YUE Yuan-yuan. Multi-level fundamental diagram of traffic flow for Beijing based on multi-source data[D]. Beijing:Beijing Jiaotong University, 2015.
[11] 许菲菲,何兆成,沙志仁.交通管理措施对路网宏观基本图的影响分析[J].交通运输系统与信息,2013,13(2):185-190. XU Fei-fei, HE Zhao-cheng, SHA Zhi-ren. Impacts of traffic management measures on urban network macroscopic fundamental diagram[J]. Journal of Transportation System Engineering and Information Technology, 2013, 13(2):185-190.
[12] 韦薇.基于宏观基本图的城市路网交通状态判别与监控[D].杭州:浙江大学,2015. WEI Wei. Study on the macroscopic fundamental diagram based on simulation[D]. Hangzhou:Zhejiang University, 2015.
[13] 朱琳,于雷,宋国华.基于MFD的路网宏观交通状态及影响因素研究[J].华南理工大学学报:自然科学版,2012,40(11):138-146. ZHU Lin, YU Lei, SONG Guo-hua. MFD-based investigation into macroscopic traffic status of urban networks and its influencing factors[J], Journal of South China University of Technology:Natural Science Edition, 2012, 40(11):138-146.
[14] 贺正冰,关伟,樊玲玲,等.北京市快速环路宏观基本图特征研究[J].交通运输系统工程与信息, 2014,14(2):199-205. HE Zheng-bing, GUAN Wei, FAN Ling-ling, et al. Characteristic of macroscopic fundamental diagram for Beijing urban ring freeways[J]. Journal of Transportation System Engineering and Information Technology, 2014, 14(2):199-205.
[15] NAGLE A, GAYAH V. The accuracy of network-wide traffic state estimation using mobile probe data[J]. Journal of the Transportation Research Board, 2014, 2421:1-11.
No related articles found!