Short-Term Vehicle Arrival Distribution Verification of Expressway Toll Stations Based on ETC Traffic Flow

被引:0
|
作者
Luo, Jie [1 ]
Shuai, Chunyan [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Transportat Engn, Kunming 650500, Yunnan, Peoples R China
关键词
Expressway toll station; K-S non-parametric test; Normal distribution; Poisson distribution;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
During traffic peak hours, the manual toll collection system (MTC) toll lanes of the expressway are prone to congested queues. Most of the references directly use the queuing theory model optimizing the MTC toll lane configuration. Usually, they assume the number of vehicles arriving in a short period of time satisfies a Poisson distribution, however, few studies have tested the validity of this hypothesis. By using the electronic toll collection (ETC) traffic flow data to perform a K-S non-parametric test on the vehicle arrival distribution of the toll station in a short time, this paper verifies that arrival of vehicles within 10 consecutive minutes obeys the Poisson distribution. Moreover, by using a k-s nonparametric test, this paper finds that the mean value of the independent Poisson sample is asymptotic normal distribution.
引用
收藏
页码:5080 / 5089
页数:10
相关论文
共 50 条
  • [1] A combined short- and medium-term traffic flow prediction method for proactive traffic control at expressway toll stations
    Xue, Bingbing
    Wang, Xu
    Han, Zishuang
    CANADIAN JOURNAL OF CIVIL ENGINEERING, 2024, 51 (11) : 1226 - 1239
  • [2] Expressway Exit Station Short-Term Traffic Flow Prediction With Split Traffic Flows According Originating Entry Stations
    Ruan, Housong
    Wu, Bangyu
    Li, Bin
    Chen, Zhu
    Yun, Weiguo
    IEEE ACCESS, 2021, 9 : 86285 - 86299
  • [3] Short-Term Traffic Flow Prediction of Expressway Considering Spatial Influences
    Shuai, Chunyan
    Wang, WenCong
    Xu, Geng
    He, Min
    Lee, Jaeyoung
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (06)
  • [4] Short-term traffic flow prediction for multi traffic states on urban expressway network
    Dong Chun-Jiao
    Shao Chun-Fu
    Zhuge Cheng-Xiang
    ACTA PHYSICA SINICA, 2012, 61 (01)
  • [5] Study on short-term prediction methods of traffic flow on expressway based on artificial neural network
    Wu, HY
    Cong, YL
    Jiang, GY
    Wang, HY
    SEVENTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, 2005, : 161 - 165
  • [6] Short-term traffic flow prediction based on vehicle trip chain features
    Wang, Xiaoqing
    Sun, Feng
    Ma, Xiaolong
    Jiao, Fangtong
    Liu, Benxing
    Zhao, Pengsheng
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2025, 17 (01): : 157 - 168
  • [7] Urban Expressway Short-term Traffic State Forecasting
    Liu, Siyan
    Li, Dewei
    Xi, Yugeng
    Tang, Qifeng
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 516 - 521
  • [8] Short-Term Traffic Flow Prediction of Expressway: A Hybrid Method Based on Singular Spectrum Analysis Decomposition
    Shuai, Chunyan
    Pan, Zhengyang
    Gao, Lun
    Zuo, HongWu
    ADVANCES IN CIVIL ENGINEERING, 2021, 2021
  • [9] Multivariate short-term traffic flow prediction based on real-time expressway toll plaza data using non-parametric techniques
    Mor A.
    Kumar M.
    International Journal of Vehicle Information and Communication Systems, 2022, 7 (01): : 32 - 50
  • [10] Vehicle actuation based short-term traffic flow prediction model for signalized intersections
    Jian Sun
    Lun Zhang
    Journal of Central South University, 2012, 19 : 287 - 298