基于智能路况信息下城市道路阻抗函数模型

Urban road impedance function model based on intelligent road condition information

为探讨车辆在城市道路上实际行驶时间,合理规划道路交通流,提出一种改进的城市道路阻抗函数模型。城市道路阻抗分为路段延误和交叉口延误,其中路段延误采用王素欣改进的道路阻抗函数模型对SPIESS路阻函数进行修正,利用城市道路交通流三参数速度、交通量、密度的关系推导出交通饱和度与交通密度的关系式。在交叉口节点延误中对Webster模型进行改进,并对整个道路阻抗函数模型进行相关道路影响因素(交叉口间距、行人自行车干扰、道路宽度)的修正,最后利用百度地图的智能实时路况查询服务来获取道路数据。通过对改进的城市道路阻抗函数模型得出的实验结果进行验证对比与独立样本T检验,结果表明改进的道路阻抗函数更贴近实际行驶时间,对路径规划和智能交通平台有参考意义。

An improved urban road impedance function model is proposed to explore the actual driving time of vehicles on urban roads and reasonably plan the road traffic flow.The urban road impedance is divided into road section delay and intersection delay.Among them,the road section delay adopts the idea of improving the SPIESS road impedance function modified by Su-Xin Wang,and the relationship between traffic saturation and traffic density is derived by using the three parameters of urban road traffic flow:speed,traffic volume,and density.A simple improvement of the Webster model in the intersection node delay is carried out.Furthermore,the overall road resistance function model is improved by incorporating relevant road influence factors(intersection spacing,pedestrian and bicycle interference,and road width).Finally,the intelligent real-time road condition query service of Baidu Map is used to obtain road data.By validating the experimental results of the improved theoretical model with comparison and an independent sample t-test,it is shown that the improved road impedance function is closer to the actual driving time and has reference significance for path planning and an intelligent transportation platform.