Lane-level Traffic Speed Prediction for Expressways Based on A Combined Deep Learning Model

被引:0
|
作者
Gu, Yuan-Li [1 ]
Lu, Wen-Qi [2 ]
Li, Meng [1 ]
Wang, Shuo [1 ]
Shao, Zhuang-Zhuang [1 ]
机构
[1] MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing,100044, China
[2] School of Transportation, Southeast University, Nanjing,211189, China
关键词
D O I
10.16097/j.cnki.1009-6744.2019.04.012
中图分类号
学科分类号
摘要
引用
收藏
页码:79 / 86
相关论文
共 50 条
  • [1] Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model
    Lu, Wenqi
    Rui, Yikang
    Ran, Bin
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (04) : 3601 - 3612
  • [2] A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction
    Li, Bao
    Yang, Quan
    Chen, Jianjiang
    Yu, Dongjin
    Wang, Dongjing
    Wan, Feng
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2023, 2023
  • [3] A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction
    Li, Bao
    Yang, Quan
    Chen, Jianjiang
    Yu, Dongjin
    Wang, Dongjing
    Wan, Feng
    [J]. Journal of Advanced Transportation, 2023, 2023
  • [4] Short-term prediction of lane-level traffic speeds: A fusion deep learning model
    Gu, Yuanli
    Lu, Wenqi
    Qin, Lingqiao
    Li, Meng
    Shao, Zhuangzhuang
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 106 : 1 - 16
  • [5] A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction
    Gao, Heyao
    Jia, Hongfei
    Huang, Qiuyang
    Wu, Ruiyi
    Tian, Jingjing
    Wang, Guanfeng
    Liu, Chao
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 133
  • [6] Lane-level short-term travel speed prediction for urban expressways: An attentive spatio-temporal deep learning approach
    Tang, Keshuang
    Chen, Siqu
    Cao, Yumin
    Zang, Di
    Sun, Jian
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (04) : 709 - 722
  • [7] Estimation of Lane-Level Traffic Flow Using a Deep Learning Technique
    Liu, Chieh-Min
    Juang, Jyh-Ching
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (12):
  • [8] A Hybrid Ensemble Model for Urban Lane-Level Traffic Flow Prediction
    Zhao, Di
    Chen, Feng
    [J]. IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION, 2022, 6 : 820 - 824
  • [9] Network-wide Lane-level Traffic Flow Prediction via Clustering and Deep Learning with Limited Data
    Zou, Xiexin
    Chung, Edward
    [J]. 2023 8TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS, MT-ITS, 2023,
  • [10] Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder-Decoder Model
    Zheng, Yan
    Li, Wenquan
    Zheng, Wen
    Dong, Chunjiao
    Wang, Shengyou
    Chen, Qian
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 15 (03) : 51 - 67