From Foresight to Reactive Traffic Worlds: A Survey of Driving World Models for Closed-Loop Simulation
Published in SSRN Preprint / Open Research Resource, 2026
A comprehensive survey establishing a Simulation-Closure framework (Replay-Constrained, Ego-Responsive, Traffic-Reactive) and a 5-layer validity stack for learned driving world models in closed-loop autonomous driving simulation.
Recommended citation: Xu, An, Jin, Zekai, Sun, Xiaoning, Zhang, Chengbo, and Yin, Yunfei. (2026). "From Foresight to Reactive Traffic Worlds: A Survey of Driving World Models for Closed-Loop Simulation." Available at SSRN: ssrn.com/abstract=7383662 or doi.org/10.2139/ssrn.7383662.
Download Paper