基于出租车GPS数据的城市次干道阻抗函数研究

城市道路阻抗函数的合理性、准确性和实时性是进行动态交通诱导的先要条件,也是交通规划领域的经典问题.目前对城市次干路,特别是违法停车影响下道路通行能力下降时的道路动态变化研究较少.以武汉市出租车GPS海量数据为基础,提出了不同道路情景及不同出租车行驶状态下的海量数据筛选策略,建立了出租车行程分析方法.另选用Smats便携式蓝牙和Wi-Fi扫描仪采集数据,针对该设备的工作原理提出了误差数据处理方法,得到真实交通流量和实验数据之间的对应关系.在BPR阻抗函数中引入非法停车条件下的道路通行能力变化规律,由出租车GPS数据和实验采集的道路交通流数据对阻抗函数表达式中的系数进行标定,并对结果进行了对比验证.结果表明,重新标定后BPR函数与真实道路阻抗的平均误差值与未改进的BPR函数相比,由26.1 s降为6.8 s. 

A Study on Impedance Function of City Secondary Road Based on Taxi GPS Data

Reasonable, accurate, and real-time impedance functions are prerequisites for dynamic traffic induction of urban roads, which is also a classical problem in traffic planning.At present, there are few studies on the dynamic changes of traffic capacity and impedance function of city secondary road, especially under influences of illegal parking.For massive taxi GPS data from Wuhan, a screening strategy of massive GPS data for different road scenarios and taxi operation statuses are put forward to calculate travel time.Smats portable Bluetooth and Wi-Fi scanner equipments are used to collect traffic flow.According to the working principle of the equipments, a corrective method for error data is developed, and then the correspondence between actual data of traffic flow and experimental data is obtained.At last, the changing regulation of road traffic capacity under illegal parking is introduced into BPR impedance function, and its coefficients are calibrated by actual data.The accuracy of the function is verified.Compared with the traditional BPR method, the results show that the mean error of the recalibration BPR method is reduced from 26.1 s to 6.8 s.