关键词: 交通运输工程, 交通控制与诱导协同, 模式选择, Q学习算法, 回报函数

Abstract:

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.

Key words: engineering of communications and transportation, collaboration of traffic control and route guidance, mode selection, Q learning algorithm, reward function