The invention provides an arterial traffic coordination signal timing optimization method, system and device and a medium, and belongs to the field of traffic control, and the method comprises the steps: building a dynamic model of traffic signal control through a Markov decision process, obtaining a value function according to the traffic signal control model, and achieving the precise description of signal timing. A value function is introduced into a brightness function and a position updating function of a firefly algorithm, and an adaptive light intensity absorption coefficient and a dynamic random disturbance factor are introduced to improve the firefly algorithm, so that an improved firefly algorithm is obtained, and the global search capability of the firefly algorithm is improved. And performing optimization training on the adaptive neural fuzzy inference system through an improved firefly algorithm to obtain a signal timing optimization model. And outputting the adjustment amount of the signal timing parameter according to the signal timing optimization model, thereby realizing the self-adaptive intelligent control of the traffic signal timing. The method can be applied to a complex and changeable arterial traffic environment, and a signal timing optimization strategy is efficiently and accurately provided for the arterial traffic.
本发明提供了一种交通干线协调信号配时优化方法、系统、设备及介质,属于交通控制领域,包括利用马尔可夫决策过程建立交通信号控制的动态模型,根据交通信号控制模型得到价值函数,实现对信号配时的精准描述。通过将价值函数引入萤火虫算法的亮度函数和位置更新函数中,并引入自适应光强吸收系数和动态随机扰动因子对萤火虫算法进行改进,得到改进萤火虫算法,提升萤火虫算法的全局搜索能力。通过改进萤火虫算法对自适应神经模糊推理系统进行优化训练,得到信号配时优化模型。根据信号配时优化模型输出信号配时参数的调整量,实现了对交通信号配时的自适应智能控制。能够应用于复杂多变的交通干线环境,高效准确的为交通干线提供信号配时优化策略。
Traffic artery coordination signal timing optimization method, system, equipment and medium
一种交通干线协调信号配时优化方法、系统、设备及介质
2025-04-08
Patent
Electronic Resource
Chinese
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