关键词: 多智能体, 自适应遗传算法, 交叉口子区Agent, 平均延误时间

Abstract: The control model of multi-agent distributed road traffic signal is presented based on the analyses of the regional traffic signal control and the characteristics of multi-agent technology. Firstly, in order to conquer the shortcomings of traditional genetic algorithm premature convergence, this paper brings the adaptive genetic algorithm into the intersection subarea agent, which improves the global optimization ability; secondly, according to the change of traffic flow, using the subarea agent substituting traditional intersection agent can optimize green ratio [λ], thus shortening the average delay time D of intersection. The experimental results show that subarea agent instead of intersection agent, the control effect is similar, and hardware resources are saved. In the subarea agent, the signal control under the adaptive genetic algorithm is introduced which can quickly find the best timing plan, and make the average delay time shortest. Finally, the simulation experiment shows that the combination of adaptive genetic algorithm and intersection subarea agent has better performance in intersection signal control, and proves the feasibility of subarea agent substituting intersection agent.

Key words: multi-agent, adaptive genetic algorithm, intersection subarea agent, average delay time