Traffic Congestion Detecting Based on Cellular Network

被引:0
|
作者
Guo, Zhe [1 ,2 ]
Huang, Benxiong [1 ]
Wang, Furong [1 ]
Tu, Lai [1 ]
机构
[1] Huazhong Univ Sci & Technol, Dept Elect & Informat Engn, Wuhan, Peoples R China
[2] Shanghai Aerosp Elect Co Ltd, Shanghai, Peoples R China
来源
JOURNAL OF INTERNET TECHNOLOGY | 2013年 / 14卷 / 07期
基金
美国国家科学基金会;
关键词
Road monitoring; Traffic congestion detecting; Cellular localization; Tracing;
D O I
10.6138/JIT.2013.14.7.05
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we consider a traffic congestion detecting system (TCDS) to detect traffic congestion based on cellular network, specifically GSM network. TCDS locates the position and trace the movement of mobile subscriber on the road to detect traffic congestion based on people calling habits that they are more likely to make a call when staying. Compared with other road monitoring system, TCDS has lower cost with satisfactory accuracy. To verify the effectiveness, we take Wuhan, a provincial capital of China, as our experiment place. Without utilizing any camera or smart phone, TCDS is able to decrease the cost with high accuracy and monitor large area of the city.
引用
收藏
页码:1053 / 1060
页数:8
相关论文
共 50 条
  • [1] A campus traffic congestion detecting method based on BP neural network
    Yu, Xiaohan
    Xiong, Shengwu
    Xiang, Jianwen
    Mao, Jingjing
    Liu, Mianfang
    Zhao, Yang
    [J]. 2015 2ND INTERNATIONAL SYMPOSIUM ON DEPENDABLE COMPUTING AND INTERNET OF THINGS (DCIT), 2015, : 93 - 100
  • [2] Alleviating cellular network congestion caused by traffic lights
    Zaaraoui, Hind
    Altman, Zwi
    [J]. 2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2015,
  • [3] Road Traffic Congestion Detecting by VANETs
    Zhang, En-zhan
    Zhang, Xia
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONIC ENGINEERING (EEE 2019), 2019, 185 : 242 - 248
  • [4] VANET-Based Privacy Preserving Scheme for Detecting Traffic Congestion
    Padron, Francisco M.
    Mahgoub, Imad
    Rathod, Monika
    [J]. 2012 9TH INTERNATIONAL CONFERENCE ON HIGH CAPACITY OPTICAL NETWORKS AND EMERGING/ENABLING TECHNOLOGIES (HONET), 2012, : 66 - 71
  • [5] Detecting Urban Traffic Congestion with Single Vehicle
    Wang, Chenqi
    Tsai, Hsin-Mu
    [J]. 2013 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), 2013, : 233 - 240
  • [6] Study on the congestion in complex network based on traffic awareness algorithm
    Wang Dan
    Yu Hao
    Jing Yuan-Wei
    Jiang Nan
    Zhang Si-Ying
    [J]. ACTA PHYSICA SINICA, 2009, 58 (10) : 6802 - 6808
  • [7] Study on Prediction of Traffic Congestion Based on LVQ Neural Network
    Shen, Xiaojun
    Chen, Jun
    [J]. 2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL III, 2009, : 318 - 321
  • [8] Road Network Traffic Congestion Evaluation Simulation Model based on Complex Network
    Luo, Chao
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC), 2016, 88 : 2107 - 2112
  • [9] Identifying Traffic Congestion Patterns of Urban Road Network Based on Traffic Performance Index
    Zang, Jinrui
    Jiao, Pengpeng
    Liu, Sining
    Zhang, Xi
    Song, Guohua
    Yu, Lei
    [J]. SUSTAINABILITY, 2023, 15 (02)
  • [10] Detecting Cryptojacking Traffic Based on Network Behavior Features
    Hu, Xiaoyan
    Shu, Zhuozhuo
    Song, Xiaoyi
    Cheng, Guang
    Gong, Jian
    [J]. 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,