§ Journal Paper — 2026

Endogeneity in Vehicle Trajectory Prediction through Game-Informed Deep Learning

Game-Informed Deep Learning (GIDL) のグラフィカル・アブストラクト: 車両軌道予測における内生性問題を、微分ゲームに基づく均衡構造を深層学習モデルに埋め込むことで解消する枠組みの概要図 — グラフィカル・アブストラクト

著者: Fumihito Furuhashi, Eiji Hato
掲載: SSRN Electronic Journal, 2026

リンク

論文 (Publisher)

BibTeX

@article{furuhashi2026endogeneity_ssrn,
  author  = {Furuhashi, Fumihito and Hato, Eiji},
  title   = {Endogeneity in Vehicle Trajectory Prediction through Game-Informed Deep Learning},
  journal = {SSRN Electronic Journal},
  year    = {2026},
  doi     = {10.2139/ssrn.6254083},
  note    = {Preprint. User reports parallel submission to Transportation Research Part C: Emerging Technologies.}
}