Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram

被引:24
作者
Anuar, Khairul [1 ]
Habtemichael, Filmon [1 ]
Cetin, Mecit [1 ]
机构
[1] Old Dominion Univ, Transportat Res Inst, Norfolk, VA USA
来源
2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS | 2015年
关键词
probe vehicle; fundamental diagram; flow estimation; QUEUE LENGTH ESTIMATION; SIGNALIZED INTERSECTIONS; TRAVEL-TIMES;
D O I
10.1109/ITSC.2015.468
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Traffic flow rate information obtained from loop detectors is important for many traffic management applications. Given the installation and maintenance costs of such detectors is high, many transportation agencies are shifting to probe vehicle based traffic data. However, estimating traffic flow rates from probe vehicle data remains critical. This paper attempts to estimate traffic flow rates by utilizing a well-calibrated fundamental diagram in combination with the traffic speed information obtained from the probe vehicle. Different single-regime fundamental diagrams and aggregation intervals of the probe vehicle data are investigated in search of the combination that provides the most accurate estimate of flow rates. The results suggest that flow rates are best estimated by using fundamental diagram developed by Van Aerde. Moreover, estimates of flow rates during congested periods are found to be more accurate than free-flow periods.
引用
收藏
页码:2921 / 2926
页数:6
相关论文
共 45 条
  • [21] Modelling the fundamental diagram of traffic flow mixed with connected vehicles based on the risk potential field
    Yin, Jiacheng
    Cao, Peng
    Li, Zongping
    Li, Linheng
    Li, Zhao
    Li, Duo
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (09) : 1616 - 1631
  • [22] The Fundamental Diagram of Mixed-Traffic Flow with CACC Vehicles and Human-Driven Vehicles
    Wang, Wenxuan
    Wu, Bing
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2023, 149 (01)
  • [23] Fundamental Diagram of Mixed Traffic Flow Considering Dedicated and Shared Lanes Management Policies for CAVs
    Yao, Zhihong
    Ren, Tingting
    Wang, Yi
    Xu, Zeqi
    Jiang, Yangsheng
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03): : 6964 - 6978
  • [24] Spatial-temporal graph convolution network model with traffic fundamental diagram information informed for network traffic flow prediction
    Liu, Zhao
    Ding, Fan
    Dai, Yunqi
    Li, Linchao
    Chen, Tianyi
    Tan, Huachun
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 249
  • [25] Fundamental diagram and stability of mixed traffic flow considering platoon size and intensity of connected automated vehicles
    Yao, Zhihong
    Gu, Qiufan
    Jiang, Yangsheng
    Ran, Bin
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 604
  • [26] Stability analysis and fundamental diagram of heterogeneous traffic flow mixed with cooperative adaptive cruise control vehicles
    Qin Yan-Yan
    Wang Hao
    Wang Wei
    Wan Qian
    [J]. ACTA PHYSICA SINICA, 2017, 66 (09)
  • [27] Fundamental diagram and stability analysis for heterogeneous traffic flow considering human-driven vehicle driver's acceptance of cooperative adaptive cruise control vehicles
    Chen, Yingda
    Kong, Dewen
    Sun, Lishan
    Zhang, Tong
    Song, Yongchang
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 589
  • [28] Estimation of Unobserved Vehicles in Congested Traffic from Probe Vehicle Samples
    Salahshour, B.
    Nezafat, R. Vatani
    Cetin, M.
    [J]. INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2019: INNOVATION AND SUSTAINABILITY IN SMART MOBILITY AND SMART CITIES, 2019, : 24 - 35
  • [29] Estimating Demand Volume for Signalized Corridors Under Oversaturated Conditions Using Aggregated Probe Vehicle Speed Data
    Kattepogu, Giridhar
    Cetin, Mecit
    Salahshour, Behrouz
    Yang, Hong
    Xie, Kun
    [J]. TRANSPORTATION RESEARCH RECORD, 2024, 2678 (03) : 1 - 12
  • [30] Estimating Queue Length Under Connected Vehicle Technology Using Probe Vehicle, Loop Detector, and Fused Data
    Li, Jing-Quan
    Zhou, Kun
    Shladover, Steven E.
    Skabardonis, Alexander
    [J]. TRANSPORTATION RESEARCH RECORD, 2013, (2356) : 17 - 22