On-line selection method of the traffic control and route guidance collaboration mode based on Q-learning algorithm

The on-line traffic control and route guidance collaboration mode selection was realized by the Q-learning algorithm. Using the multi-intelligence agents trained with the Q-learning algorithm, the optimal collaboration mode was obtained under different traffic conditions according to the inner inference of the multi-intelligence agent. So,the on-line selection and switching of the traffic control and route guidance collaboration mode was accomplished. The simulation results show that the proposed collaboration mode selection method based on the Q-learning is characterized by better collaboration control effect under the ordinary traffic congestion condition and more adaptive to constantly changing traffic condition than the traditional off-line mode selection method. The proposed method is helpful to avoiding the heavy traffic congestion and improving the traffic network performance.