Citation

Wang W, Yang ZS, Zhao DX. J. Traffic Transp. Eng. (Xi'an, Shaanxi) 2011; 11(5): 109-114.

Copyright

(Copyright © 2011, Chang'an Daxue)

DOI

unavailable

PMID

unavailable

Abstract

The function of variable speed limit(VSL) on expressway mainline was analyzed, and the existing methods of speed limit were studied. The control process of VSL was taken as Markov decision-making process of discrete time. A model of VSL based on reinforcement learning and finite horizon Markov decision-making was proposed. The model was dynamically adjusted through interacting with traffic environment, and solved by using finite horizon backward recursive iterative algorithm. The traffic environment of Chang-Ji Expressway was simulated by using Paramics. Analysis result shows that average traffic volume doesn't reduce, but increases by 3.20% when average limit speed decreases by 6.25% compared with design speed. So the model is feasible to increase traffic volume and improve traffic condition on expressway mainline effectively.