Multistep Traffic Forecasting

Multistep Traffic Forecasting is a traffic demand forecasting method that predicts traffic conditions over multiple future time steps in a single forward pass, distinguishing itself from single-step approaches by capturing long-term temporal dependencies and sequential patterns in traffic dynamics.

33

Publications

1.9K

Citations

136

Authors

53

Institutions

Publications per year

2017–2026

26

Authors

136

  1. TL
    Tianrui Li

    Southwest Jiaotong University, China

    2 publications · 36 citations

    2

    h-index

  2. YW
    Yinhai Wang

    University of Washington, United States

    2 publications · 55 citations

    2

    h-index

  3. SD
    Shengdong Du

    Southwest Jiaotong University, China

    2 publications · 36 citations

    2

    h-index

  4. AP
    A.G. Parlos

    Texas A&M University, United States

    1 publications · 65 citations

    1

    h-index

  5. ML
    Meng Li

    Hefei University of Technology, China

    1 publications · 11 citations

    1

    h-index

1–5 of 136

Venues

  1. Expert Systems with Applications

    3 publications · 66 citations

    3

    h-index

  2. 3

    h-index

  3. IEEE Access

    2 publications · 141 citations

    2

    h-index

  4. Applied Sciences

    2 publications · 56 citations

    2

    h-index

  5. IEEE Transactions on Signal Processing

    1 publications · 65 citations

    1

    h-index

1–5