@article{ref1,
title="Control model of variable speed limit based on finite horizon Markov decision-making",
journal="Journal of traffic and transportation engineering (Xi'an, Shaanxi)",
year="2011",
author="Wang, Weixu and Yang, Zhao-Sheng and Zhao, Ding-Xuan",
volume="11",
number="5",
pages="109-114",
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.<p />",
language="",
issn="1671-1637",
doi="",
url="http://dx.doi.org/"
}