Research on Traffic Signal Timing Method Based on Ant Colony Algorithm and Fuzzy Control Theory
Research on Traffic Signal Timing Method Based on Ant Colony Algorithm and Fuzzy Control Theory
复制标题
基于蚁群算法和模糊控制理论的交通信号配时方法研究
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Zhanyang Zhang
中科院分区：
文献类型：
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作者：
Lin;Yunhan Ma;Bai;Hongliang Dong;Zhanyang Zhang
随着经济的发展，私家车的保有量呈井喷式增长，导致现有有限的交通资源无法满足正常的交通需求。智能交通的出现改善了这一现象。利用智能交通技术对路口车辆进行疏导，可以有效缓解拥堵。交通信号配时方法在智能交通研究中占有重要地位。将模糊控制理论与改进蚁群算法相结合，提出了一种独立交叉口动态配时方法。根据交通流分布的特点，利用改进的Webster算法得到配时周期。通过蚁群算法得到的最优解和模糊控制方法计算的交通信号附加延误，得到交通信号的动态配时周期。通过与原始时间段和传统算法的比较，证明了该方法的有效性。
The number of private cars has a blowout growth with the development of economics, which leads to the existing limited traffic resources cannot meet the normal traffic demand. The emergence of intelligent traffic has improved this phenomenon. Using intelligent traffic technology to conduct intersection vehicles can alleviate the congestion effectively. Traffic signal timing method plays an important role in intelligent traffic research. An independent intersection dynamic timing method combined with fuzzy control theory and improved ant colony algorithm is proposed in this paper. According to the characteristics of traffic flow distribution, the timing period is obtained with the improved webster algorithm. Through the optimal solution obtained by ant colony algorithm and the added delay of traffic signal calculated by fuzzy control method, the dynamic timing period of the traffic signal is obtained. The validity of the proposed method is proved by comparing with the original time period and the traditional algorithm.