A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections

被引:0
|
作者
机构
[1] [1,Yang, Zhongguo
[2] Ali, Sikandar
[3] 1,Ding, Weilong
[4] Abbasi, Irshad Ahmed
[5] Khan, Muhammad Faizan
来源
Ali, Sikandar (sikandar@cup.edu.cn) | 1600年 / Hindawi Limited卷 / 2021期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Retracted (TB)
引用
收藏
相关论文
共 50 条
  • [31] Identification of distinguishing characteristics of intersections based on statistical analysis and data from video cameras
    Shepelev, Vladimir
    Aliukov, Sergei
    Glushkov, Alexander
    Shabiev, Salavat
    JOURNAL OF BIG DATA, 2020, 7 (01)
  • [32] Multi-vehicle safety functions for freeway weaving segments using lane-level traffic data
    Rim, Heesub
    Abdel-Aty, Mohamed
    Mahmoud, Nada
    ACCIDENT ANALYSIS AND PREVENTION, 2023, 188
  • [33] Automatically Generating Empirical Speed-Flow Traffic Parameters from Archived Sensor Data
    Li, Huan
    9TH INTERNATIONAL CONFERENCE ON TRAFFIC AND TRANSPORTATION STUDIES (ICTTS 2014), 2014, 138 : 54 - 66
  • [34] Fast extraction of traffic parameters and reidentification of vehicles from video data
    Woesler, R
    2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 774 - 778
  • [35] Road traffic predictions across major city intersections using multilayer perceptrons and data from multiple intersections located in various places
    Halawa, Krzysztof
    Bazan, Marek
    Ciskowski, Piotr
    Janiczek, Tomasz
    Kozaczewski, Piotr
    Rusiecki, Andrzej
    IET INTELLIGENT TRANSPORT SYSTEMS, 2016, 10 (07) : 469 - 475
  • [36] An improved tucker decomposition-based imputation method for recovering lane-level missing values in traffic data
    Lu, Wenqi
    Zhou, Tian
    Li, Linheng
    Gu, Yuanli
    Rui, Yikang
    Ran, Bin
    IET INTELLIGENT TRANSPORT SYSTEMS, 2022, 16 (03) : 363 - 379
  • [37] Network-wide Lane-level Traffic Flow Prediction via Clustering and Deep Learning with Limited Data
    Zou, Xiexin
    Chung, Edward
    2023 8TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS, MT-ITS, 2023,
  • [38] Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale Prediction Framework for Lane-Level Traffic Flow Based on LPR Data
    Zeng, Jie
    Tang, Jinjun
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (04) : 4173 - 4188
  • [39] A Multimedia Data Mining Framework: Mining Information from Traffic Video Sequences
    Shu-Ching Chen
    Mei-Ling Shyu
    Chengcui Zhang
    Jeff Strickrott
    Journal of Intelligent Information Systems, 2002, 19 : 61 - 77
  • [40] AUTOMATIC VEHICLE TRAJECTORY EXTRACTION FOR TRAFFIC ANALYSIS FROM AERIAL VIDEO DATA
    Apeltauer, Jiri
    Babinec, Adam
    Herman, David
    Apeltauer, Tomas
    PIA15+HRIGI15 - JOINT ISPRS CONFERENCE, VOL. I, 2015, 40-3 (W2): : 9 - 15