Prediction Benchmarking

Prediction Benchmarking is a standardized evaluation framework within the domain of traffic participant prediction that systematically assesses and compares the performance of different models or methods against a common set of metrics, datasets, and tasks to determine their relative effectiveness in forecasting future states of dynamic road agents.

33

Publications

2.8K

Citations

157

Authors

66

Institutions

Publications per year

2017–2026

21

Authors

157

  1. PL
    Ping Luo

    University of Hong Kong, Hong Kong SAR China

    2 publications · 228 citations

    2

    h-index

  2. DL
    Di Liu

    Southeast University, China

    1 publications · 39 citations

    1

    h-index

  3. CG
    Chongjian Ge

    University of Hong Kong, Hong Kong SAR China

    1 publications · 81 citations

    1

    h-index

  4. GJ
    Guangyin Jin

    National University of Defense Technology, China

    1 publications · 146 citations

    1

    h-index

  5. AK
    Andreas Kouloumos

    National Technical University of Athens, Greece

    1 publications · 69 citations

    1

    h-index

1–5 of 157

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 32 citations

    2

    h-index

  2. 1

    h-index

  3. Judgment and Decision Making

    1 publications · 15 citations

    1

    h-index

  4. International Journal of Forecasting

    1 publications · 69 citations

    1

    h-index

  5. Engineering Structures

    1 publications · 19 citations

    1

    h-index

1–5