基于离散粒子群算法的高速公路交通流量检测器布设优化  

Optimization of highway traffic flow detector layout based on discreteparticle swarm optimization

作　　者：王小波 WAGN Xiaobo(Deputy General Manager,Information and Intelligent Products Division,Guizhou Zhongnan Transportation Technology Co.,Ltd.,Guiyang 550000)

机构地区：[1]贵州中南交通科技有限公司,信息化及智能产品事业部,贵阳550000

出　　处：《自动化与仪器仪表》2025年第3期62-65,70,共5页Automation & Instrumentation

基　　金：2023年贵州省交通运输厅科技项目《基于开源鸿蒙技术的公路基础设施数字化及路网感知关键技术研究》(项目编号2023-122-020)。

摘　　要：现有的检测器布设方法通常仅基于部分因素进行决策,缺乏对整个交通系统的综合考量。对此,研究基于离散粒子群算法的高速公路交通流量检测器布设优化方法。定义离散粒子群算法模型,结合交通路段类型、交通路段车流量、外界影响因素与公路边缘的交通流量情况等路段重要度影响因素,对高速公路的路段重要度进行评级。基于评级结果,计算公路交通流路段被选择频数,利用离散粒子群算法优化高速公路交通流量检测器的布设方案。实验结果表明,利用上述方法得到的检测器布设方案在故障情况下对于高速公路交通流量仍然具有较强的检测能力,且每一个检测器设备都能捕获到清晰的高速公路交通流量监测图像,表示该算法具有良好的作用效果。The existing detector deployment methods are usually only based on partial factors for decision-making,lacking comprehensive consideration of the entire transportation system.In this regard,research on the optimization method for the deployment of highway traffic flow detectors based on discrete particle swarm optimization algorithm.Define a discrete particle swarm optimization algorithm model that combines factors such as traffic segment types,traffic flow on traffic segments,external factors,and traffic flow at the edges of highways to evaluate the importance of highway segments.Based on the rating results,calculate the frequency of selecting highway traffic flow sections,and use discrete particle swarm optimization algorithm to optimize the deployment plan of highway traffic flow detectors.The experimental results show that the detector deployment scheme obtained by the above method still has strong detection ability for highway traffic flow in case of faults,and each detector device can capture clear highway traffic flow monitoring images,indicating that the algorithm has good performance.

关 键 词：离散粒子群算法 交通流量 检测器布设 路段重要度 被选择频数 路网数据 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]