您当前的位置:
首页 >
文章列表页 >
Research on Short term Traffic Flow Prediction on Highways Based on LC-Transformer Model
更新时间:2025-11-24
    • Research on Short term Traffic Flow Prediction on Highways Based on LC-Transformer Model

    • In the field of urban traffic flow prediction, the LC Transformer model combines LSTM, CVAE, and accident data to effectively improve prediction accuracy and robustness.
    • Advanced Engineering Sciences   Pages: 1-13(2025)
    • DOI:10.12454/j.jsuese.202401002    

      CLC: U491.1
    • Received:01 December 2024

      Published Online:24 November 2025

    移动端阅览

  • Li ShuQing,Zhang Peizhe.Research on Short term Traffic Flow Prediction on Highways Based on LC-Transformer Model[J].Advanced Engineering Sciences, DOI:10.12454/j.jsuese.202401002.XXXX,XX(XX):1‒13.

  •  
  •  

0

Views

0

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Optimization of Hyperspectral Image Classification Using Spectral-feature Based Approaches
Deep Image Compressive Sensing Reconstruction Based on Range‒Null Space Decomposition
Depth-aware Network for Polyp Segmentation
Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis
A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data

Related Author

LI Xunfeng
LI Xiaohua
WU Lei
WANG Dingkun
CHENG Shuangquan
ZHU Lu
LIU Yuanyuan
Jing QIN

Related Institution

Collage of Computer Science, Sichuan University
School of Information Engineering, East China Jiaotong University
School of Cyber Science and Technology, Sun Yat-sen University
Suzhou Chien-Shiung Institute of Technology
Institute of Information Engineering, Chinese Academy of Sciences
0