TY - JOUR PY - 2011// TI - Control model of variable speed limit based on finite horizon Markov decision-making JO - Journal of traffic and transportation engineering (Xi'an, Shaanxi) A1 - Wang, Weixu A1 - Yang, Zhao-Sheng A1 - Zhao, Ding-Xuan SP - 109 EP - 114 VL - 11 IS - 5 N2 - 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.
LA - SN - 1671-1637 UR - http://dx.doi.org/ ID - ref1 ER -