Traffic Congestion Incident Detection and Dissipation Algorithm for Urban Intersection Based on FCD

被引:0
|
作者
Liang, Zijun [1 ]
Chen, Hong [1 ]
Song, Zhihong [2 ]
Zhou, Yulin [2 ]
Zhang, Binbin [2 ]
机构
[1] Changan Univ, Coll Highway, Xian, Shaanxi, Peoples R China
[2] Minist Hefei, Key Lab Urban ITS Technol Optimizat & Integrat, Hefei, Anhui, Peoples R China
关键词
floating car data (FCD); congestion detection; Traffic signal control; intersection;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In order to detect congestion incident of urban intersection, a new traffic congestion incident detection algorithm for urban intersection based on FCD was proposed. The algorithm considered the impact of urban traffic signal control system on urban traffic congestion, using the time-varying characteristics of GPS positioning, calculate the residence time of the vehicle in the intersection, and combined with the signal timing of intersection to determine whether the intersection is congested. The method has less association parameters and high practical value. This article uses the FCD and the signal control system's parameters of Ningbo city, data validation of the algorithm was established from detection rate and false alarm rate, the results shown that the algorithm can accurately realize congestion alarm and congestion dissipation of intersection. Moreover, the algorithm model is straightforward and is easy to implement.
引用
收藏
页码:2578 / 2583
页数:6
相关论文
共 50 条
  • [31] Incident detection and traffic monitoring in urban areas
    Bretherton, R.D.
    Bowen, G.T.
    Proceedings of the Drive Conference, 1991,
  • [32] Intelligent Control of Urban Intersection Traffic Light Based on Reinforcement Learning Algorithm
    Raeisi, Moein
    Mahboob, Amir Soltany
    2021 26TH INTERNATIONAL COMPUTER CONFERENCE, COMPUTER SOCIETY OF IRAN (CSICC), 2021,
  • [33] Urban Traffic Congestion Alleviation Relying on the Vehicles' On-board Traffic Congestion Detection Capabilities
    Fazekas, Zoltan
    Obaid, Mohammed
    Karim, Lamia
    Gaspar, Peter
    ACTA POLYTECHNICA HUNGARICA, 2024, 21 (06) : 7 - 31
  • [34] Fuzzy-logic-based traffic incident detection algorithm for freeway
    Xie Binglei
    Hu Zheng
    Ma Hongwei
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 1254 - 1259
  • [35] Advanced Fuzzy-Logic-Based Traffic Incident Detection Algorithm
    Zhu, Changhong
    Guo, Zhenjun
    Ke, Jie
    ADVANCES IN FUZZY SYSTEMS, 2021, 2021
  • [36] Traffic-incident detection-algorithm based on nonparametric regression
    Tang, SM
    Gao, HJ
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2005, 6 (01) : 38 - 42
  • [37] Fuzzy-logic-based traffic incident detection algorithm for freeway
    Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, 518055, China
    Proc. Int. Conf. Mach. Learn. Cybern., ICMLC, (1254-1259):
  • [38] Traffic incident detection algorithm based on non-parameter regression
    Tang, SM
    Gong, XY
    Wang, FY
    IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2002, : 714 - 719
  • [39] Vision-based density detection of traffic flow in urban intersection in the daytime
    Shi, Shengli
    Xu, Jianmin
    Qin, Zhong
    2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS, 2006, : 187 - +
  • [40] Urban Traffic Incident Detection for Organic Traffic Control: A Density-based Clustering Approach
    Thomsen, Ingo
    Zapfe, Yannick
    Tomforde, Sven
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS (VEHITS), 2021, : 152 - 160